335 EXL JOBS
- Summary of expectations from this role :Proven track record of managing finance & accounting functions including delivery of complex set of activities spread across “Accounting” and “Reporting & Analysis” functions Establish and nurture senior level client relationships, understand expectations Capability to lead in ambiguous situations and make appropriate decisions Establish operational excellence framework, more analytical than transactional Lead by example a team of highly talented professionals Manage change effectivelyDrive digital transformations across the clientsBring in thought leadership across all dimensions of operations, including a visionary approach to be able to think through future state of operations and client engagementKey responsibilities include:Ensure consistent service delivery with a consultative and solutions-based approachAbility to pre-empt potential issues and take proactive measures to address themShould have the ability to preempt and escalate any issues pertaining to clients in a non-confrontational mannerProject manage big or small projects initiated either by client or by EXL to the satisfaction of all stakeholdersStrive for high levels of customer satisfaction. Take ownership to meet and exceed client defined SLAs and KPIs.Develop sound value based solutions and apply technical knowledge and strategic thinking in client deliveryDevelop and manage strong independent relationships with clients at senior positions Champion continuous process and systems improvement Deploy new levers of change like Robotics Process Automation and Analytics Smart data management, including data visualization Lead and coach the team to recruit and retain high caliber staffProvide coaching, guidance and support, set professional development plans to assist employees to reach their full potential through the Performance Management processMaintain effective level of controls over Accounting and Reporting operationsEnsure optimal deployment of resources to achieve business goalsbangalore
Commercial Banking with Marketing Analytics
Role: Commercial Banking with Marketing AnalyticsAbout the role:are seeking an experienced Senior Data Scientist to join our team and play a key role in a transformative project for Big4 Australian Bank.this role, you will be responsible for leveraging your expertise in commercial banking data, and Marketing analytics to drive insights and inform strategic decision-making.Key engagement responsibilities would be: Strategy Development:Collaborate with stakeholders to understand business objectives and develop strategic roadmaps for leveraging commercial banking data and analytical capabilities.Define and prioritize initiatives to enhance campaign management, advanced marketing insights for profitable targeting.Data Analysis and Modeling:Utilize advanced statistical and machine learning techniques to analyze banking data and extract actionable insights.Develop predictive models to optimize business processes, enhance customer experiences, and drive revenue growth.Collaborate with cross-functional teams to identify key performance indicators (KPIs) and develop metrics for measuring success.Gen AI and Emerging Technologies:Design and implement machine learning modeling solutions to automate manual processes, improve efficiency, and mitigate risks within the banking operations.Research and evaluate emerging technologies, including natural language processing (NLP), and computer vision, to identify opportunities for innovation.Collaboration and Stakeholder Engagement:Work closely with stakeholders across business units to understand their requirements and translate them into data-driven solutions.Communicate findings and recommendations to senior management and other stakeholders through clear and concise presentations and reports.Provide guidance and mentorship to junior team members, fostering a culture of collaboration and continuous learning.Job Requirements: Qualification/Skillset Required: or Ph.D. degree in Computer Science, Statistics, Mathematics, Economics, or a related field.years of experience in BFSI, with a focus on commercial banking and marketing analytics.Proficiency in programming languages such as Python, R, SQL, and experience with data manipulation and analysis tools (e.g., Pandas, NumPy, SciPy).Strong background in machine learning, statistical modeling, and data visualization techniques.Experience with big data technologies (e.g., Hadoop, Spark) and cloud platforms (e.g., AWS, Azure) is preferred.Excellent problem-solving skills and ability to thrive in a fast-paced, dynamic environment.Australian banking industry experience preferred.Open to relocate for short term.Locations: Bangalore/GurgaonbangaloreVBA Excel (Gurgaon)
Analytics Assistant ManagerEXL (NASDAQ:EXLS) is a leading operations management and analytics company that helps businesses enhance growth and profitability in the face of relentless competition and continuous disruption. Using our proprietary, award-winning Business EXLerator Framework™, which integrates analytics, automation, benchmarking, BPO, consulting, industry best practices and technology platforms, we look deeper to help companies improve global operations, enhance data-driven insights, increase customer satisfaction, and manage risk and compliance. EXL serves the insurance, healthcare, banking and financial services, utilities, travel, transportation and logistics industries. Headquartered in New York, New York, EXL has more than 24,000 professionals in locations throughout the United States, Europe, Asia (primarily India and Philippines), Latin America, Australia and South Africa.EXL Analytics provides data-driven, action-oriented solutions to business problems through statistical data mining, cutting edge analytics techniques and a consultative approach. Leveraging proprietary methodology and best-of-breed technology, EXL Analytics takes an industry-specific approach to transform our clients’ decision making and embed analytics more deeply into their business processes. Our global footprint of nearly 2,000 data scientists and analysts assist client organizations with complex risk minimization methods, advanced marketing, pricing and CRM strategies, internal cost analysis, and cost and resource optimization within the organization. EXL Analytics serves the insurance, healthcare, banking, capital markets, utilities, retail and e-commerce, travel, transportation and logistics industries.Please visit www.exlservice.com for more information about EXL Analytics.Role Overview:Emphasis is on providing business insights and managing end to end project deliveryStructure analytical solution to address business objectives and problem solvingTranslate stated or implied client needs into researchable hypotheses.Develop sophisticated analysis plans to test those hypotheses given data and resource availability, time, etc. Effectively guide the team around problem structuring and use of analytics (tools and techniques) to carry out analysisFacilitate client working sessions and lead recurring project status meetingsDevelop long-lasting, trusted advisor relationships with clientsAble to work in dual shore engagement across multiple time zonesManage business uncertaintySecure new opportunities within existing account relationshipAssess customer needs, pain points, behaviors, activation levers, headroom for growth, value propositions, etc.Manage day-to-day project operations, serve as the functional and domain expert on the project team to ensure that they meet client expectationsProvide quality oversight on deliverables prepared by the project team before submitting to clientResponsibilities:Build VB prototypes and small scale applications, along with VBA scripts, in a bid to automate Excel spreadsheetsDevelop, enhance, and maintain MS Excel, and handle frontend development proceduresAnalyze and revise existing system logic difficulties, and ensure that technical knowledge of all phases of application systems is maintainedCommunications, including deck writingDevelop, maintain and support existing MS Excel VBA applications, and analyze and convert business requirements as neededFacilitation and gathering of client feedback on problem structuringUnderstand and define business problems, get all background information and collect relevant data pointsCandidate Profile:Bachelor’s/Master's degree in computer science/engineering, operations research or related analytics areas; candidates with BA/BS degrees in the same fields from the top tier academic institutions are also welcome to applyProficiency in Excel, VBA Macros.Insurance Industry knowledge preferred3-7 years’ experience, preferably in analyticsOutstanding written and verbal communication skillsgurugramSenior Assistant Vice President
SkillMust Have SkillsOPERATIONS MANAGEMENTCLIENT HANDLINGPEOPLE MANAGEMENTPNL MANAGEMENTMinimum QualificationGRADUATEJob DescriptionEnd to end client management for voice and back office processes dealing in calls, chat and emails. Key responsibilities will include:Day to day operations managementPeople managementClient managementPnl ManagementTransformation mind setCandidate should have relevant experience in all these areaspuneBanking Analytics
Banking Analytics Role:About the role:are seeking a dynamic and experienced Lead Consultant to join our team and spearhead a transformative project for Big4 Australian Bank.responsible for leading and executing initiatives related to banking data transformation, Generation AI (Gen AI), analytical capabilities, banking automation, and operational projects.Key engagement responsibilities would be: Strategy Development:Collaborate with stakeholders to understand business objectives and develop strategic roadmaps for leveraging banking data, Gen AI, and analytical capabilities.Define and prioritize initiatives to enhance banking automation and operational efficiency.Technical Expertise:Provide subject matter expertise in banking data management, including data acquisition, cleansing, integration, and governance.Drive the adoption of advanced analytics techniques and machine learning algorithms to extract insights and drive decision-making.Explore and implement innovative solutions leveraging Gen AI technologies to enhance customer experiences and optimize business processes.Project Leadership:Lead cross-functional teams in the design, development, and implementation of banking automation solutions and operational enhancements.Manage project timelines, budgets, and resources to ensure successful delivery within scope and quality standards.Serve as a mentor and coach to team members, fostering a culture of continuous learning and professional growth.Client Engagement:Build and maintain strong relationships with key stakeholders and Client, serving as a trusted advisor on banking data and Gen AI initiatives.Proactively identify opportunities for additional value-added services and drive business development efforts to expand our footprint within the client organization.Job Requirements: Qualification/Skillset Required: degree in computer science, Information Systems, Business Administration, or a related field; Master's degree preferred.years of experience in BFSI, with a focus on banking and financial services.manage a team of 7 to 8 membersDeep understanding of banking data architecture, including data modeling, warehousing, and visualization tools.Strong expertise in advanced analytics techniques, machine learning, and artificial intelligence.Excellent communication and interpersonal skills, with the ability to effectively engage with senior executives and drive consensus across diverse stakeholders.Australian banking industry experience preferred.Open to relocate.Locations: Bangalore/GurgaonbangaloreQA TA Lead
Total Experience-3-6YrsLocation-GurgaonRole and Responsibilities Overview:Develop and implement a comprehensive quality assurance strategy for data engineering projects, ensuring that data quality standards are met throughout the data pipeline.Collaborate with cross-functional teams to define test plans and strategies for validating data pipelines, ETL processes, and transformations using PySpark, Databricks, and SQL.Design and execute tests using SQL queries and data profiling techniques to validate the accuracy, completeness, and integrity of data stored in various data repositories, including data lakes and databases.Adhere to formal QA processes, ensuring that the Systems Implementation (SI) team is using industry-accepted best Practices. Ensure data accuracy in both SQL and the Data Lakehouse platform. Use detailed and effective written communication skills to document the features tested and bugs found.Conduct performance testing of data processing jobs and workflows to identify bottlenecks, optimize code, and improve overall system performance using PySpark performance tuning techniques.Act as a key point of contact for all QA aspects of releases, providing test services and coordinating QA resources internally and externally in SQL, PySpark/Python, Databricks Delta, and Delta Live Tables.Identify the critical defects and work with BI and Data Engineering teams to mitigate them; define and enforce the acceptance criteria for testing, which inherently determines the approval for code promotions to higher environments.Candidate ProfileBachelor’s/Master's degree in computer science/engineering, operations research, or related data and analytics areas; candidates with BA/BS degrees in the same fields from the top tier academic institutions are also welcome to applyProficiency in Data Engineering, Data Management (ETL) solutions with capabilities with HIVE (preferred)In-depth understanding of PySpark, Python, SQL, and Databricks Delta and Delta Live Tables with Unity Catalog (preferred)Insurance Industry knowledge preferred.QA best practices and methodologies to design, implement, and automate processes.Knowledge on SQL & PySpark (Mandatory)Experience extracting and manipulating data from relational databases with advanced SQL, HIVE, Python/PySpark.Proficiency in design and test bed creation to support various test cases and accounts for variety and volume of test data.Test strategy development experience and demonstrate knowledge in the key areas of managing timelines and dependencies across multiple tests in an agile environment.The entire software development life cycle and test cycles (unit, Regression, Functional, Systems, stress& scale, smoke and sanity)Strong knowledge of design principles, color proposition, and typography.3-6yrs years experience in data engineering, preferably in data lake/data Lakehouse design-based platformsOutstanding written and verbal communication skillsAble to work in a fast-paced, continuously evolving environment and ready to take uphill challenges.Able to understand cross-cultural differences and can work with clients across the globe.Self-motivated, works well independently and with others.Using metrics-driven approach and closed-loop feedback to improve software deliverables and improve the predictability and reliability of releases.gurugramData Slinger-Asset management
Role & Responsibilities Overview: 1. Interface with business stakeholders, understand their data and analytics needs, establish requirement in alignment with data product owners and with data engineers and align on delivery plan. Coordinate across data and analytics product team to help design data assets to enable analytical solution around asset management. 2. Understand various data sources around asset classes, portfolio, historical performances, market trends etc. and explore additional structured or unstructured sources to enrich data pipelines. Support in the design & development of target data marts (Operational or Analytical) or data assets for portfolio analytics, performance/financial reporting, financial modeling, or other analytical use cases. 3. Build data product prototypes to generate product/market fit for internal users, ensuring we have the deep understanding to design centralized scalable data products and features. Prototypes may select data from snowflake and generate derived metrics to create new datasets in DEV and UAT environments. 4. Rigorously create and maintain document such that anyone can understand the design, logic, code, acceptance EXL Service 10 Exchange Place, Suite 2200, Jersey City, NJ T: +1.201.748.4700 www.exlservice.com testing, data quality testing, and outcomes. Document prototypes in detail, including learnings of what doesn’t work. 5. Establish necessary ETL (“Extract, Transform, Load”) process to land data into target solutions and enable corresponding analytics views leveraging tools like Python/SQL/Snowflake. 6. Support development of user test cases for integration, data flows through scenario testing, solicit feedback for further improvement to data solutions. 7. Effectively communicate analysis, reports, project status, milestones etc. in coordination with data product owners, program managers and scrum maters. 8. Implement straight through, exception-based data product designs meeting data governance standards, including reporting. Perform necessary data quality checking tasks, prepare data quality reports, establish necessary data security measures to prepare model ready data. 9. Support development of data solutions catering to ad-hoc business team requirements to understand asset class performance, insights on allocation strategy, portfolio monitoring etc. Candidate Profile: • Master's degree in economics, mathematics, computer science/engineering, operations research or related analytics areas; candidates with MBA/BA/BS degrees in the same fields from the top tier academic institutions are also welcome to apply • Professional certifications in Finance, financial modeling, or investments are a plus (including CFA/FRM/CA) • 3+ years’ experience preferably in Insurance domain • Experience in Investment Analytics with strong knowledge of investment products including fixed income, public equity, private equity, private credit, venture capital, real estate, the energy transition and more • Understand key financial terminologies and working including financial statements, regulations etc. • Experience in working in dual shore engagement is preferred • Must have experience in managing clients directly • Superior analytical and problem solving skills • Excellent planning, organizational and time management skills • Strong competency in MS applications including Word, Excel, PowerPoint, Outlook and other business analysis specific tools and techniques. • Experience with other project management tools including MS Project, Visio (BPMN), Confluence, Jira, Sharepoint, Git etc. • Knowledge of other investment-related software and tools (Bloomberg, Aladdin etc.) is preferred • Strong record of achievement, solid analytical ability, and an entrepreneurial hands-on approach to work in an agile work environment • Outstanding written and verbal communication skills • Able to work in fast pace continuously evolving environment and ready to take up uphill challenges • Is able to understand cross cultural differences and can work with clients across the globe EXL Service 10 Exchange Place, Suite 2200, Jersey City, NJ T: +1.201.748.4700 www.exlservice.com Tech Stack required : Must have : SQL, Data Management, data warehousing and Asset Management prior experience, good communication Good to have : Jira, Lucid charts, SnowflakegurugramJob Application-Qlik Lead-Immediate Joiner
Job description (Qlik Lead)Job Location: Hyderabad/Pune/Gurgaon/BangaloreExperience: 6+ yearsNotice Period: Immediate Joiner to 30 days.Join EXL's innovative data science team, where we harness the power of generative AI to push the boundaries of data-driven solutions. At EXL, we're committed to exploring new frontiers in technology,Job Title: Qlik LeadCompany: EXL AnalyticsExperience is 6-9 years.Key Skills - QlikSense, SQL, Set analysis, Section Access, ODAG, Document Chaining, Vizlib extensions, N PrintingMust-Have:Expert in building visualizations in Qlik and well versed with Storytelling in QlikExperienced in development of Qlik Sense based reports using Qlik Nprinting Strong analytical skills with business analysis aptitude Good knowledge of Data Visualization and self service Dashboards/reporting in Sliksense Good understanding of visualization best practices, working with NPrinting in Sliksense and third party extensions such as VizLib Library Creative skills and ability to visualize complex concepts and turn it into user friendly solutions Experience in extraction and transformation application layers with QVD, data modelling layer in Qlik Sense to supportUnderstanding and Defining stakeholder / business problems, requirements elicitation and requirement prioritization. Strong understanding of RDBMS – normalization concepts, SQLShould have worked into Data Space project having good understanding of Data Models like Snowflake Schema and Star Schema and conceptual understanding of Data Warehouse, Big Data, Dimensional Modeling, HadoopExposure of working in Agile framework.Tools: JIRA, ConfluenceResponsibilities: Support the build of outcome driven Visualizations and Metrics that unlock the value of data through storytelling. Collaborate with Business stakeholders to architect the user design solution. Collaborate with Business stakeholders to facilitate and participate in inception workshops to create a shared understanding of user needs and the potential technology solution required to deliver to these needs. Ability to comprehend and translate complex functional, technical and business requirements into executable architectural designs. Ability to develop high volume, low latency solutions in a fast-paced environment. Thoughtful implementation of Qlik Sense best practices to deliver effective Qlik Sense data solutions. Lead data discovery, assessment, analysis, modelling and mapping efforts in Qlik dashboards. Conduct performance tuning to meet the acceptable threshold of response time in Qlik dashboards. Oversee designs interactions by organizing content and functionality in support of user goals, guided by user behavior and principles of Information ArchitectureIf you interested in this role, then please share your following details along with the updated CV:Total Experience-Current CTC Fixed-Expected CTC Fixed-Notice Period-Any other offer In hand-Reason for change-Skills-Regards,Nandini SharmagurugramInside Sales Specialist
EXL is hiring for Lead Generation Specialist - Inside Sales Shift Starts from 2 pmInterested candidates are interested can share their candidates on charu.gupta@exlservice.com with following detailsCurrent CTCExpected CTCNotice PeriodPreferred LocationExperience in Inside Sales and Lead GenerationComfortable for Shift starts from 2 pmSales Development Resource As a part of the Business Development team, you will play a key role in achieving our client acquisition and revenue growth objectives. The role will involve generating a consistent set of high-quality leads as part of the Inside Sales team. The role requires leading initiatives such as well-researched and smart calling and targeted email marketing to foray into primarily Fortune 1000 companies across the US, UK, Europe, and other geographies.The position offers a unique opportunity to be part of a challenging and entrepreneurial environment, with a significant responsibility and an exciting career path.Requirements We are looking for a motivated and well-spoken Inside Sales representative to join our high-performing sales team, who can deliver measurable value/success5 years of experience in Inside Sales roles, preferably working in analytics/IT services/related consulting services & solutions industriesExperience in any of the following markets is required - US/ Australia/Western EuropeResponsibilities The inside sales representative will be responsible for generating new leadsDiscover new sales opportunities through outbound cold calls and email campaignsCreate process for qualification of leads as per the objectives of businessMeet or exceed Sales Goals – Monthly, Quarterly and YearlyCreate and maintain the database of the prospects/decision-makersSchedule email campaigns and monitor the performanceUpdate internal reports and CRM Desired QualificationsBachelors in any disciplineProfessional Experience/ Traits Minimum of 5 years of assisting Analytics or similar businessProven track record of leading and supporting lead generation and qualificationExcellent communication and written skillsCreative expertise in customizing presentations and communication for correct messaging (MS PowerPoint and MS Word primarily)Comfortable in a fast-paced, high-pressure and a rapidly evolving entrepreneurial environmentExcellent Sales, Story-Writing, Presentation and Consulting SkillsSelf-Driven, committed, detailed, quality and deliverable-orientednoidaLead Data Engineer
Location- Gurgaon/ BangaloreExperience- 7Yrs-8 YrsJob SummaryLooking for a versatile professional to join our team in the role of Hybrid Data Engineer and Database Administrator. This position requires a blend of expertise in Data Engineering and Database Administration, with a strong foundation in Oracle DBA roles and a demonstrated transition into data engineering. The ideal candidate will possess hands-on experience with database systems such as Oracle, Postgres, Teradata, or Starburst (Trino) in an AWS environment, coupled with proficiency in utilizing Git, Jenkins, and Terraform. Additionally, broader AWS experience including S3, Lambda, VPC, and Security Groups would be highly advantageous.Responsibilities:possess hands-on experience in working on some of the relational and non-relational databases (Oracle/SQL Server/DB2/PostgreSQL/MySQL/Golden Gate/Data Guard) on AWS and/or on-prem infrastructure.years’ Experience with AWS Services like AWS RDS, Aurora, EC2, S3, DMS, AWS Backups, and DynamoDB.years’ Experience with the Design and deployment of Amazon Machine Images (AMI) for Database.in database migrations from on-prem to AWS Cloud, replication technologies like Oracle Golden Gate/HVRand maintain database systems to ensure optimal performance, reliability, and security.develop, and deploy data pipelines and ETL processes for efficient data ingestion, transformation, and analysis.with cross-functional teams to understand data requirements and develop scalable data solutions.database performance metrics and proactively address any performance or scalability issues.version control for database scripts and configurations using Git.Jenkins for continuous integration and deployment of database changes.infrastructure provisioning and configuration using Terraform to enhance deployment efficiency.AWS services such as S3, Lambda, VPC, and Security Groups to support data infrastructure.guidance on database security best practices, including access control and encryption.updated on emerging technologies and industry trends in data engineering and database administration.Required Qualifications:Years industry implementation experience with Data Engineering tools.experience of working within AWS and must be capable of working from infrastructure (VPC, EC2, Security groups, S3 etc.) to AWS data platforms (Redshift, RDS, Glue etc). In depth experience of Azure/GCP is also of interest.with database migrations to AWS Clouddeploy and support databases on Ec2, AWS RDS and VMware platformKnowledge of infrastructure automation with Terraform.of source control management and associated tools such as Git.and maintain database systems to ensure optimal performance, reliability, and security.develop, and deploy data pipelines and ETL processes for efficient data ingestion, transformation, and analysis.with cross-functional teams to understand data requirements and develop scalable data solutions.database performance metrics and proactively address any performance or scalability issues.version control for database scripts and configurations using Git.Jenkins for continuous integration and deployment of database changes.infrastructure provisioning and configuration using Terraform to enhance deployment efficiency.AWS services such as S3, Lambda, VPC, and Security Groups to support data infrastructure.guidance on database security best practices, including access control and encryption.updated on emerging technologies and industry trends in data engineering and database administration.years of management experience requiredyears consulting experience preferreddegree or equivalent experience, master's degree Preferreddata warehousing, OLTP systems, data integration and SDLCand experience with major Data Architecture philosophies (Dimensional, ODS, Data Vault, etc.)of modern data warehouse capabilities and technologies such as real-time, cloud, Big Data.of on premises and cloud infrastructure architectures (e.g. AWS, Azure, GCP)Preferred Skills & Experience:experience in Oracle DBA roles, with a solid understanding of database management principles.in at least one of the following database systems: Oracle, Postgres, Teradata, or Starburst (Trino).experience with Git, Jenkins, and Terraform for version control and automation.with AWS cloud services, particularly in an environment involving S3, Lambda, VPC, and Security Groups.analytical and problem-solving skills with a proactive approach to troubleshooting.communication and collaboration abilities, with a track record of working effectively in cross-functional teams.and working experience with Data Integration processes, such as Data Warehousing, EAI, etc.to analyze business requirements as they relate to the data movement and transformation processes, research, evaluation and recommendation of alternative solutions.to provide technical direction to other team members including contractors and employees.to contribute to conceptual data modelling sessions to accurately define business processes, independently of data structures and then combine the two together.ability to serve as a trusted advisor that builds influence with client management beyond simply EDM.create documentation and presentations such that they “stand on their own”on experience with AWS Products (e.g. AWS Lambda, AWS Glue, AWS EMR, AWS S3, AWS Sage maker, etc.)building, operationalizing, securing, and monitoring data processing systems on AWS Cloud Platformcontribute to internal/external Data Integration proof of concepts.ability to create new and innovative solutions to problems previously not encountered.to work independently on projects as well as collaborate effectively across teamsteam building, interpersonal, analytical, problem identification and resolution skillsworking with multi-level business communitieseffectively utilize SQL and/or available BI tool to validate/elaborate business rules.influences and, at times, oversees business and data analysis activities to ensure sufficient understanding and quality of data.effectively with all team members and builds strong working relationships/support with them.Understands modern data warehouse concepts (real-time, cloud, Big Data) and how to enable such capabilities from a reporting and analytic standpoint.gurugramAI Architect - Gen AI - R&D
Proven expertise to drive AI leadership capabilities to drive new revenues, efficiencies and customer experience for larger enterprises.As part of your duties, you will be responsible for:Experience with having deployed AI solutions and systems at large enterprisesProven expertise in working with clients to design and build AI applications and systems that drive productivity and differentiation for enterprises – AI consulting experience preferredExperience working in at least one of Insurance, Banking, Healthcare or transportation and logisticsExperience in leading AI R&D teams including new product development for AI-powered solutionsExhibited thought leadership in the AI spaceBuilt and mentored AI R&D and AI deployment teams.Build robust enterprise wide architecture for AI solutions for clients - envision, build, deploy and operationalize an end-to-end machine learning and AI pipeline.Work closely with enterprise and solution architects, to translate business and solution requirements to enterprise-wide AI architectureCollaborate with data scientists and other AI professionals to augment digital transformation efforts by identifying and piloting use cases. Discuss the feasibility of use cases along with architectural design with business teams and translate the vision of business leaders into realistic technical implementation. At the same time, bring attention to misaligned initiatives and impractical use cases.Align technical implementation with existing and future requirements by gathering inputs from multiple stakeholders — business users, data scientists, security professionals, data engineers and analysts, and those in IT operations — and developing processes and products based on the inputs.Play a key role in defining the AI architecture and selecting appropriate technologies from a pool of open-source and commercial offerings. Select cloud, on-premises or hybrid deployment models, and ensure new tools are well-integrated with existing data management and analytics tools.Practitioners’ ability to identify and infuse generative AI capabilities across all AI solutions that we conceptualize, build, deploy and take to marketDevelop and implement state-of-the-art generative AI models and algorithms.Conduct research and experimentation to improve existing models and propose novel approaches.Collaborate with cross-functional teams to integrate generative AI solutions into real-world applications.Stay up-to-date with the latest advancements in deep learning and generative models and apply them to enhance our AI capabilities.Document research findings, prepare technical reports, and contribute to whitepaper/scientific publications.Provide deep leadership and coaching in the project delivery lifecycle. Focus on shared learning, continuous improvement, and drive adoption of best practices.Oversee the design and development of AI products and infrastructure for use across industries in B2C and B2B contextsRequirement Analysis: Collaborate with stakeholders to understand business needs and identify opportunities where AI can provide value and address challenges.Solution Design: Develop architectural designs and system blueprints that outline the components, algorithms, and technologies required to build AI solutions.Algorithm Selection: Assess various AI algorithms, models, and frameworks to determine the most suitable ones for the specific use case and problem.Data Processing: Design data pipelines and strategies for acquiring, preprocessing, cleaning, and transforming data to ensure its suitability for AI model training and deployment.Model Development: Oversee the development and training of AI models, selecting appropriate techniques such as machine learning, deep learning, or reinforcement learning.Performance Optimization: Fine-tuning AI models and algorithms to improve accuracy, efficiency, and scalability while considering speed, memory usage, and computational resources.Ethical Considerations: Ensure ethical and responsible AI practices by addressing bias, fairness, privacy, and transparency throughout the AI system’s lifecycle.Integration and Deployment: Collaborate with development teams to integrate AI systems into existing infrastructure, ensuring seamless deployment, scalability, and interoperability.Testing and Validation: Conduct thorough testing and validation to assess AI systems’ performance, reliability, and robustness and iteratively refine them based on feedback and evaluation.Audit AI tools and practices across data, models and software engineering with a focus on continuous improvement. Ensure a feedback mechanism to assess AI services, support model recalibration and retrain models.Work closely with security and risk leaders to foresee and overturn risks, such as training data poisoning, AI model theft and adversarial samples, ensuring ethical AI implementation and restoring trust in AI systems. Remain acquainted with upcoming regulations and map them to best practices.SkillsAbility to define the AI architecture strategy and technical specs for enterprise transformationAbility to orchestrate execution of the technical strategy across data scientists, data engineers, developers, operations (DevOps, DataOps, MLOps) and business unit leaders to govern and scale the AI initiativesAI architecture and pipeline planning - Understand the workflow and pipeline architectures of ML and deep learning workloads. An in-depth knowledge of components and architectural trade-offs involved across the data management, governance, model building, deployment and production workflows of AI is a must.Software engineering and DevOps principles, including knowledge of DevOps workflows and tools, such as Git, containers, Kubernetes and CI/CD.Data science and advanced analytics, including knowledge of advanced analytics tools (such as SAS, R and Python) along with applied mathematics, ML and Deep Learning frameworks (such as TensorFlow) and ML techniques (such as random forest and neural networks).Auditing AI tools, ensuring model interoperability, foreseeing and designing to address risksStrong educational background with a completed (or on-track to complete) PhD in deep learning, machine learning, related area, or equivalent experience.Solid knowledge of deep learning architectures, including convolutional neural networks (CNNs), recurrent neural networks (RNNs), and transformer models.Familiarity with key concepts and techniques used in generative models, such as variational autoencoders (VAEs), generative adversarial networks (GANs), and flow-based models.Strong programming skills in languages such as Python, along with experience working with popular deep learning frameworks like PyTorch and TensorFlow.Experience with large-scale data processing and distributed computing frameworks (e.g., Apache Spark, TensorFlow distributed).Understanding of Graph Database and Vector Database along with knowledge of cloud computing platforms (e.g., AWS, Google Cloud).Experience with deploying AI models in production environments.Proficiency in additional programming languages, such as C++, Java, or R.Familiarity with domain-specific applications of generative AI, such as computer vision, natural language processing, or healthcare.ExperiencesTrack record in relevant research, such as deep learning and deep generative models, as evidenced by publications in top-tier venues (e.g., ICML, NeurIPS, ICLR, UAI, AIStats).Hands-on experience with current deep learning frameworks (e.g., PyTorch, TensorFlow) as evidenced by released code (e.g., GitHub repositories – version control awareness).Solid understanding of optimization techniques for training deep neural networks, regularization methods, and hyperparameter/fine tuning.Experience in Generative AI Models (Text to Text, Text to Image), finetuning, prompt engineering and experience with frameworks like LangchainStrong software engineering skills for rapid and accurate development of AI models and systems.Provide business-oriented solution with ability to communicate effectively, both verbally and in writing, with technical and non-technical stakeholders.Experience working in a collaborative environment, contributing to multidisciplinary teams and projects.Proven ability to solve complex problems, think creatively, and adapt to evolving research trends.noidaManager - Spend Analysis
Roles and responsibilitiesBeing a part of the Global team and work on various spend analysis projects and process compliance & effectiveness aiding strategic decision making for the company.Collecting/Organizing/Preparing/Managing data for analysis and conducting quality checks. Able to Analysis PO and Non-PO Data to derive meaningful insights into the spend patterns Able to define category strategy based on the outcome of the Spend AnalysisDefine and drive strategic projects based on the outcome of the spending report in order to achieve spend savings.Able to define Spend objectives, identify information sources, gather data into a central database, cleanse the data, link related suppliers, categorize spend, analyze the data. Repeat and refine the process.Monitor, Analyse and Report KPI compliance in the comprehensive areas of Procure to pay process and projectsPresent Dashboard and highlight specific areas and actions for required improvement to attain organizational objective Ideal CandidateQualification : MBAs or CAs (including Semi Qualified) At least 5 years of proven record in the similar role in a multiple country / geography organizational set up Experience in of Procurement to Pay (P2P) process and related business processes and best practice business analysis.Familiarity with Oracle ERP (particularly P2P & Related module) and reporting tools e.g. Power BI etc. and have an urge to learn new tools and techniques. Proficient in MS Office Suite (particularly in MS Excel & Power Point)Data analysis and visualization skills to collect, examine and present spend data in a meaningful way.Communication and research skills to interact with stakeholders and suppliers to identify relevant data sourcesKnowledge to understand the objectives, strategies and best practices of spend analysis, and to identify savings opportunities and risk management.Detail-oriented and self-motivated personality to ensure accuracy, quality and timeliness of the analysis.Superior problem solving abilities and strong analytical thinking Desire to work in a fast paced, challenging environment where you need to push yourself all the time. Ability to work under shared reporting responsibility structure.Good interpersonal skills and ability to effectively work in teamsMature individual with a professional work ethic, and high degree of ownership and accountabilitynoidaJob Application-ML Ops Engineer-Immediate Joiner
Job description (ML OPS Engineer)Job Location: Hyderabad/Pune/Gurgaon/BangaloreExperience: 4+ yearsNotice Period: Immediate Joiner to 30 days.Join EXL's innovative data science team, where we harness the power of generative AI to push the boundaries of data-driven solutions. At EXL, we're committed to exploring new frontiers in technology,Job Title: ML Ops EngineerCompany: EXL AnalyticsExperience is 4-7 years. Key Skills - Fine tune the LLM models, Python, Experience on MLOPS/LLMOPS (docker /container). Have deploy the model in Production (GCP). Basic understanding of ML/Deep learning. NLPResponsibilities: Help identify opportunities to solve complex challenges and deliver tangible business benefit through Analytics, Al/Machine Learning solutions and skillsets. Apply advanced Data Science methods, extensive prototyping and experimentation methodologies in the following disciplines: Data, Al: Machine Learning. Work closely and collaboratively with other functions within 8l & Analytics in order to assess the scalability of analytical opportunities and further development into production-level solutions. Running research experiments both in NLP & computer vision (for remote sensing based applications)Experience & Skills: Proficiency with python and the python ML tool kit along with DL frameworks Experience with working on end-to-end solutions and comfortable with cloud-based ML-Ops pipelines. Experience fine-tuning deep learning models including LLMs. Experience with GPUs and understanding of balancing costs at both training and inference Comfortable in deploying end to end data science focused solutions with challenging data sets. Proficiency/experience with ML deployment strategies, micro services and infrastructure ML-OPS experience with setting up CI/CD pipelines, feature engineering etis, designing feature stores and understanding mechanisms of deployment across various environments. Experience in translating ML based outcomes to business-digestible insights.If you interested in this role, then please share your following details along with the updated CV:Total Experience-Current CTC Fixed-Expected CTC Fixed-Notice Period-Any other offer In hand-Reason for change-Skills-Regards,Nandini SharmagurugramConsultant - Internal Audit Role
Key Responsibility:• Experience in performing multiple full round of internal auditing and proficient with US GAAP and SOX regulations.• Ability to identify and assess complex Process risks and controls, to relate them to the wider business environment and to express opinions clearly to all levels.• Leverages industry knowledge from prior experience.• Developed specific audit plans - draft work programs, risk assessments, testing strategies, data requests, etc.• Performs, and is responsible for, reviewing the audit evidences, validating them for completeness and accuracy and documenting the work-papers.• Performs analytical review of supporting evidences, draft findings and present to management.• Performs financial audits including financial statements review, internal controls assessment, substantive works, corroborative interviews, reporting, completion and client relationship management.Experience & Professional Pre-Requisites4 plus years of professional experience in areas of risk & compliance (operational risk, SOX compliance, internal audit, business process reviews etc.)Professional certification such as CA, CPA, CISA or CIA. Exceptionally good MS office skills including MS Visio & PDF Pro applications.Strong understanding of accounting, finance, SOX, US GAAP and auditing concepts and standards.noidaJob Application-Solution Architect-Immediate Joiner
Job description (Solution Architect)Job Location: Hyderabad/Pune/Gurgaon/BangaloreExperience: 7+ yearsNotice Period: Immediate Joiner to 30 days.Join EXL's innovative data science team, where we harness the power of generative AI to push the boundaries of data-driven solutions. At EXL, we're committed to exploring new frontiers in technology,Job Title: Solution ArchitectCompany: EXL AnalyticsExperience is 7-11 years.Key Skills - Hadoop, Hive, GCP, API, design principles, design architect, data management, data governance Responsibilities:Working with the DAO ESG delivery leads, Portfolio and Platform architects from multiple GB/GFs, Technical Lead 8 Engineers to define the detailed solution design The job is also accountable to see through the implementation of the design. The solutions design covers technology, data and business processes Ensuring the products & services are supported by the right architectures and solutions meet the customer needs Ensuring the design of the product solutions are cost effective and maintained through the agile development lifecycle, managing the flow of the backlog of design activities Ensuring solutions are aligned with the data and platform architecture and roadmap, group standards and policies and the overall enterprise architecture for their functionExperience 8 Skills: Engage, mobilize and guide technology resources to speed up deliveries Working with Engineers to ensure any design related issues are addressed timely, and all operational issues (performance, security violation) are resolved timely. Support communications and relationships with business and IT stakeholders. Explore solution options and make balanced design decisions according to longer term strategy and immediate business benefit, to avoid and reduce technical debt. Receive formal approvals from relevant designIf you interested in this role, then please share your following details along with the updated CV:Total Experience-Current CTC Fixed-Expected CTC Fixed-Notice Period-Any other offer In hand-Reason for change-Skills-Regards,Nandini SharmagurugramDigital Transformation Consultant-Fna/R2R/OTC/P2P-Lean six sigma
Essential Functions Responsible for Diagnostic to Solution Proposal creation for Digital projects Generate ideas for building ‘game-changing’ capabilities by scanning the market/competition and internal operations Consultative mindset, with approach to think of a business challenge creatively and with a future digital solution mindset Build relationships with key business leaders and sponsors other stakeholders to drive uptake of innovation projects, define project vision, scope, requirements, and deliverables Successfully collaborate with core and extended teams across the enterprise for deployment of Digital Solutions by internal and client showcasing and articulating the business case and value proposition Create best in class products by integrating firm’s product footprint and investments – automation, process simulation, re-engineering, domain expertise, analytics etc Responsible for maintaining the Governance and reporting on projects to Business units, Leadership, clients Maintain awareness of new and emerging operating practices, technologies such as robotic automation, machine learning, mobility, artificial intelligence and dynamic analytics and the potential application on operations Managing client visits for prospects, existing clients with respect to transformation presentations Providing transformation solutions and roadmaps for new deals / pursuits Contribution of creation of showcase content, though leadership white papers, collaterals Updates job knowledge by studying state-of-the-art tools, technologies, reading professional publications; maintaining personal networks; participating in professional organizations Primary Internal Interactions Business and Account Leadership Advanced Automation & Robotics Analytics Products and Platforms Quality & Process Excellence Operations SME’s & Supervisors RFX and deal team Client Management team Other enabling functions on need basis Technical SkillsStrong Insurance Finance and Accounting domain Domain experience in FP&A, R2R, O2C, P2P, Treasury Experience with accounting platforms such as Blackline, ARIBA, Coupa, Experience with Process Diagnostics and Solutions development Good understanding of Digital Solutions: Analytics, Robotics, Process Improvement/Elimination/Lean Six Sigma background and project management Excellent working knowledge of MS Office – MS Excel, Power Point, Word Doc, Outlook Proficient with MS-VISIO for flowcharting/process mapping software Experience of packaging and showcasing capabilities and solutions Work Experience and Additional Requirements 7+ years of overall experience including 8+ years of project management experience with demonstrated success and financial results Proven ability to drive a solution from start to finish (project management certifications are a plus) Experience in Insurance/BFSI domain will be given strong preference Experience of packaging and showcasing capabilities and solutions Willing to work in 24X7 environment Ability to travel as required domestically and / or internationally Requirements Mandatory qualifications CA / CMA AIAF Experience with Lean Six Sigma is highly preferred Mandatory from a Big 4 or large consulting firm with advisory services experience in outsourcing, transformation practice Good Interpersonal skills Good written and oral Communication Strong Presentation skills Multi-tasking and prioritizing ability Project management skills to drive improvement projects / initiatives Strategic focus and strong business acumen Demonstrates a global mindset Demonstrates an intellectually agile and analytical approach and thought process Is a brand ambassador Conformance to policies / compliances with auditing skills and eye for details Ability to coach and give feedback on an ongoing basis. Problem solving skills Ability to resolve conflicts constructively and lead in a continually challenging environmentnoidaJob Application-Data Scientist (NLP Engineer)-Gurgaon/Bangalore
Job description (NLP Engineer)Job Location: Gurgaon/BangaloreExperience: 5+ yearsNotice Period: Immediate Joiner to 30 daysJob Description:We are seeking a talented and experienced Natural Language Processing (NLP) Engineer to join our innovative team. As an NLP Engineer, you will be responsible for developing and implementing cutting-edge algorithms and models to analyze and extract insights from unstructured text data. The ideal candidate will have a strong background in machine learning, natural language processing, and software engineering, with a passion for solving complex linguistic challenges.Responsibilities:Develop and deploy state-of-the-art NLP models and algorithms to solve business problems related to text analysis, sentiment analysis, entity recognition, topic modeling, and more.Design and implement scalable and efficient NLP pipelines for processing large volumes of unstructured text data.Conduct research to explore new NLP techniques and methodologies, staying abreast of the latest advancements in the field.Develop and deploy AI and statistical algorithms to extract insights and drive actionable recommendations from complex datasets.Provide guidance and mentorship to junior data scientists on advanced analytics techniques, coding best practices, and model interpretation.Design rigorous testing frameworks to evaluate model performance, validate results, and iterate on models to improve accuracy and reliability.Qualifications:5+ Years of prior analytics and data science experience in driving projects involving AI and Advanced Analytics. 3+ Years Experience in NLP, Deep Learning frameworks, LSTM, Transformers, Neural network.Proficiency in programming languages such as Python, with experience in relevant libraries and frameworks (e.g., NLTK, spaCy, TensorFlow, PyTorch).Solid understanding of linguistics and text processing techniques, including tokenization, lemmatization, part-of-speech tagging, and named entity recognition.Strong problem-solving skills and the ability to iterate and experiment to optimize AI model behavior.Excellent problem-solving skills and attention to detail.Ability to communicate effectively with diverse clients/stakeholders. Education Background:Bachelor’s in Computer Science, Engineering, Computational Linguistics or related field.Tier I/II candidates preferred. Folks with shorter notice period to be preferred.If you interested in this role, then please share your following details along with the updated CV:Total Experience-Current CTC Fixed-Expected CTC Fixed-Notice Period-Any other offer In hand-Reason for change-Skills-Regards,Nandini SharmagurugramManager - Legal & Secretarial
Basic FunctionTo assist the Legal & Secretarial Function. Should be capable of handling multiple legal assignments and ensure minimization of legal risks to the organization. Meeting deadlines with minimum turnaround time in handling legal matters. Education RequirementsGraduate/Post Graduate in Law (LL.B.) with good academic background.Qualification/ membership of the Institute of Company Secretaries of India (ACS) Work Experience Requirements7-8 years of experience; in-house experience with a reputed corporation preferred. Essential FunctionsLegal: Support and collaborate with EXL Legal team in:Contract Reviews: Primary reviewer/negotiator for commercial agreements including client Master Services Agreements, SOWs/Work Orders, Vendor Contracts, Facility Leases, Software License Agreements, Service level agreements, NDAs and RFPs. Ensure legal risks are addressed while balancing business needs and objectives. Ensure contracts are negotiated within EXL contracting standards, while facilitating deal-to-deal specific exceptions and customizations and pro-actively working with Business team members to creatively solve issues. Indian law issues: Legal research and responding to legal queries facing the Indian entities, covering all local laws and regulations. Supporting the corporate secretarial team from time to time.Specific Projects: Assist with Special Projects as the need arises to support the businesses strategic growth while keeping within the acceptable risk profile. Ability to take ownership of projects and run with them to completion.Talent Management: Conducting training and awareness sessions on upcoming legal and compliance areas. Ensure team engagement; provide team development, orientation and mentoring. Continue to build and improve processes to minimize team conflicts.Corporate Secretarial:Responsible for the following tasks:Coordinate and schedule board meetings, committees and annual general meetings (AGMs), prepare agendas and papers for these meetings, draft resolutions, taking minutes of these meetings and follow up on action points including communicating decisions to relevant company stakeholders post Board and Committee meeting decisionsMaintain and update corporate records, statutory books and registers, including registers of members, directors etc., prepare and lodge required forms and returns with the Registrar of Companies as per statutory timelines, coordinating with consultants for compliance and other regulatory filings from time to time.Liaise with external regulators and advisors, interface with internal and statutory auditors and other key external stakeholders in connection to the compliance of Companies Act, 2013Monitor changes in relevant legislations in the corporate regulatory environment like Companies Act and Rules made therein, FEMA / SEBI Regulations and other applicable laws and take appropriate actionWork closely with other teams e.g. Finance, treasury, Human resource, Procurement for corporate secretarial mattersSupport functioning of non-profit foundation managed by Company, CSR policy implementation with Board approvals etc. Corporate secretarial compliance in mergers and acquisitions, streamlining the post-merger consolidation of legal entities on banking, regulatory fronts.noidaManager -O2C-Credit
Should be well versed in Credit ManagementShould have experience in managing team size of more than 50+Should have worked in various domains in Accounts Receivable Should have good client handling skillsExcellent communication skillsShould be good in presentation and AnalysisKnowledge of RPA and Power BI would be an added advantagekochiSenior Manager Internal Audit
Key Responsibility: You will be responsible to manage operational delivery & stakeholder relationships for clients assigned in your portfolio.You can expect to work with external & internal client/s personnel to manage compliance, financial and operational risk projects.You will provide specialized consulting advice basis work performed by the team and support informed decision making at executive levels.Skills and attributes for success:Plan, monitor & manage operational delivery to ensure adherence to agreed quality parameters & timelines. Implement work management trackers, define roles & responsibilities of team members and roll out a work allocation / delivery plan to track completionWork with on-shore managers to agree on scope of work, key stakeholders, escalation matrices, project milestones & timelinesDesign & Implement management information systems (MIS) for periodic status updates and to identify trends around business processes identified as high on risk / low on controlsParticipate in operational responsibilities with team members basis project requirements. Evolve as the ‘face’ of team to review working papers, draft observations & communicate them to key stakeholdersDrive a culture of Risk and Governance across business processes. Institutionalize ethos of continuous improvement in risk management across all processes and sub processes in scope. Champion customer service to ensure that compliance is integrated in business processesDemonstrate excellent project management skills, inspire teamwork and responsibility with engagement team members, and use current technology/tools to enhance the effectiveness of deliverables and servicesIntroduced to concepts of Big Data Analytics, Automation & Process Digitalization in various business processes. Ability to identify opportunities, drive POC (Proof of Concept), manage un-certainty & define success parametersExceptionally good understanding of EXL Consulting and its service lines and actively assess what the firm can deliver to service clientsExperience & Professional Pre-Requisites:7+ years of professional experience in areas of risk & compliance (operational risk, SOX compliance, internal audit, business process reviews etc.). Specialized industry experience in BFSI, Transport, Utilities segments is preferredProfessional certification such as CA, CPA, CISA or CIA. Exceptionally good MS office skills including MS Visio & PDF Pro applicationsRelationship building & networking capabilities. Ability to engage in a conversation, demonstrate a solution oriented approach & work on new business concepts / ideas / delivery modelsExperience in managing diverse teams – working across departments / time zones & geographiesStrong understanding of accounting, finance and auditing concepts and standardnoidaAssistant Manager
must have-Back-office operations experience, preferably claims; US Healthcare Insurance experience preferably Should have overall experience pf at least 4-5 years and at least 1-2 years’ experience as an Assistant Manager/Team Lead (at least 1-1.5 years) (Not SME)Fine to work in the working window – 5 pm onwardsExperience in handling large teams – 30-40 resourcesExperience in managing inventory with large volumes and critical SLAsClient facing communication skillsHave knowledge with excel and PPTStrategic and critical thinkingUnderstanding of attrition & shrinkage management, SLA management, and people managementShould be fine to work from office – Noida sector 144noidaSr.Full Stack Developer+AWS/Azure
Experience- 6-11 yearsLocation- NoidaShift- 1:30 PM – 10:30 PM (10 Hours Shift. Also depends on the project/work dependencies)Working Days- 5 daysWork Mode- HybridWe are seeking a skilled and experienced Backend Engineer who specializes in integrations, AWS cloud services, and proficient in Java and/or Node.js programming languages. As a Backend Engineer, you will be responsible for designing, developing, and maintaining the backend infrastructure and integrations of our software applications. Your expertise in AWS, Java/Node.js , Linux, Docker, and related technologies will play a crucial role in building scalable and efficient systems.Responsibilities:Collaborate with cross-functional teams to gather integration requirements and design scalable backend architectures.Develop high-quality code and APIs to enable seamless integration between our applications and third-party systems.Implement integrations with various APIs, web services, and databases, ensuring secure and efficient data transfer.Build and maintain scalable and reliable backend services hosted on AWS cloud infrastructure.Optimize performance and scalability of backend systems to handle large volumes of data and user traffic.Troubleshoot and resolve integration issues, ensuring seamless operation of integrated systems.Implement and maintain automated testing and deployment processes to ensure code quality and continuous delivery.Monitor and analyze system performance metrics, identify bottlenecks, and propose optimizations.Stay updated with the latest industry trends and technologies, and actively participate in knowledge sharing within the team.Requirements:Bachelor's degree in Computer Science, Software Engineering, or a related field.Proven experience as a Backend Engineer with expertise in integrations and backend development.Strong proficiency in Java and/or Node.js programming languages.Experience with AWS cloud services, including but not limited to EC2, S3, Lambda, API Gateway , AppSync , and DynamoDB .Proficiency in Linux-based environments and shell scripting.Familiarity with containerization technologies like Docker.Solid understanding of RESTful APIs and integration patterns.Experience with database systems like MySQL, PostgreSQL, or MongoDB.Knowledge of software engineering best practices, including version control, testing, and deployment methodologies.Strong problem-solving skills and ability to work independently or as part of a team.Excellent communication and collaboration skills.Preferred Skills:Experience with microservices architecture and related technologies (e.g., Kubernetes, AWS ECS).Familiarity with DevOps practices and tools (e.g., Jenkins, Ansible).Knowledge of frontend technologies like React, Angular, or Next.js.Understanding of security principles and best practices in software development.Join our dynamic team and contribute your expertise to drive the success of our backend infrastructure and integrations. Apply now and be part of a collaborative and innovative environment where your skills will be valued and rewarded.gurugramData Scientist
Summary of the role: We are seeking a highly skilled and motivated data scientist with a strong background in statistics, machine learning, and data analysis, as well as experience in working with large, complex data sets. An ideal candidate will have deep understanding and hands-on experience in using advanced statistical techniques to measure and monitor experiments, ability to collaborate with cross-functional teams, and communicate findings to stakeholders and contribute to decision making by providing actionable recommendations. As part of your duties, you will be responsible for: • Work with the stakeholders to embed an advanced culture of statistically robust Experimentation, helping teams to make the right business decisions using robust evidence and reliable data. • Assist in the design of experiments to help team generate and test hypotheses, as well as interpret results to maximize learnings and prove real value across the business • Identifying opportunities to improve the quality of existing solutions through the addition of new data or application of alternative Data Science techniques • Defining problems, scoping and planning projects. • Manage the end-to-end delivery of the project and the relationship with the client • Coach junior team members on data science concepts and algorithms Qualifications and experience we consider to be essential for the role: • 4+ years of experience working as a data scientist • Strong proficiency in statistical analysis and programming – Python/R (python preferred) and SQL. • Experience of working in BFSI (Insurance preferred) • Ability to develop A/B test experimentation design and analysis as well as multi-variate testing • Proven experience in using advanced statistical techniques to design, run, and measure onsite and offsite experiments • Experience of using various resampling techniques to build distributions and estimate parameters • Knowledge of quasi-experimental evaluation methods • Experience working in AWS Sage Maker Notebooks. • Team management experience • Eager to learn and develop technical skills – also happy to share knowledge with others • Experience of working in Agile ways of working using Jira • Experience working directly with stakeholders • Analytical mindset and strong problem-solving skills • Excellent written and verbal communication skillsgurugramSenior Executive
Walk-in Drive Alert: Join Our Team in Noida!We're excited to announce that we're conducting a walk-in drive for experienced professionals in Account payables (AP), Account Receivables (AR) & Record to Report (RTR). If you're looking for a rewarding opportunity, we'd love to meet you!Position: RTR, AP & AR SpecialistExperience: Minimum 18 months of relevant Experience in RTR, AR & AP.Location: Noida, Sector 144Salary: From 4 to 4.50 LPA (Maximum)*Please Note - The offered CTC depends on your Current/Last CTC however the maximum CTC will be only 4.50LPA.Notice period: 15 to 30 days only.As an RTR, AP & AR Specialist, you'll be responsible for managing end-to-end Record to Report (RTR) processes, efficiently handling Accounts Receivable & Payables functions, and ensuring accurate and timely reporting. You'll also collaborate with cross-functional teams for process improvements and maintain compliance with accounting standards and regulations.Requirements:- Bachelor's degree in accounting, Finance, or related field- Proven experience in RTR, AP & AR (cash application) roles for at least 18 months- Strong understanding of accounting principles and practices- Proficiency in MS Office suite, especially Excel- Excellent communication and interpersonal skills- Ability to thrive in a fast-paced environment and meet deadlinesDate: 12th April 2024, FridayTime: From 11am to 1:30pmVenue: EXL, ground floor NSL TechZone buildingNoida, Sector 144Bring along:- Updated resume- Photo ID proof- Educational and experience certificatesJoin us and be a part of a dynamic team dedicated to excellence in finance operations! Don't miss this opportunity to take your career to new heights.We look forward to meeting you!noida