Manager

• Serve as main client contact, engaging with C‑level and senior stakeholders.
• Track fraud trends and funnels; refine rules/models to balance loss, approvals, and customer experience.
• Assess strategy performance (detection rate, false positives, manual review, referral) and recommend improvements.
• Monitor emerging typologies (ATO, first‑party, synthetic ID, mule/merchant) and adjust controls proactively.
• Own test‑and‑learn: design champion–challenger tests; measure lift; codify winners.
• Oversee decisioning implementation on fraud platforms; ensure audit/controls and documentation.
• Align with Operations on case workflows, dispute/chargeback processes, and agent playbooks.
• Lead and plan analytical projects with offshore teams for smooth execution.

Senior Engagement Manager, Fraud Strategy

Project Manager

• Manage day-to-day execution of EXLdata.ai engagements (demos, POCs, pilots, early rollouts)
• Track tasks, milestones, dependencies, and deliverables across engagement workstreams
• Ensure adherence to defined timelines, scope, and quality standards
• Coordinate across client stakeholders, Engagement Leads, Solution Architects, and delivery teams
• Support alignment on engagement objectives, success criteria, and execution plans
• Facilitate regular working sessions, standups, and checkpoint meetings
• Work with EXLdata.ai agent teams (Data Engineering, Data Quality, Governance, Migration, Annotation, DataOps) to support engagement execution
• Track readiness of data, environments, workflows, and demo assets
• Escalate dependencies or constraints impacting delivery timelines
• Support structured execution of demos and POCs, including environment setup, synthetic data readiness, and workflow validation
• Coordinate execution steps across presales, engineering, and solution teams
• Ensure consistency and repeatability in engagement execution
• Maintain project plans, task trackers, RAID logs, and status reports
• Prepare engagement status updates and execution summaries for Program Managers and leadership
• Proactively identify risks and issues and support mitigation actions

Project Manager – AVP

Vice President

• Build and maintain strong relationships with key Diversified Industries clients.
• Act as the primary contact for strategic discussions, understanding client needs and identifying opportunities for value creation through consultative engagement.
• Lead development of tailored technical proposals in collaboration with cross-functional teams.
• Design innovative solutions in areas like data modernization, data operations, AI, marketing, and finance & accounting, ensuring proposals are practical, competitive, and aligned with best practices.
• Monitor account performance and drive growth through up-sell and cross-sell opportunities in collaboration with Sales and Account leadership.
• Achieve revenue targets by expanding service offerings and leveraging emerging technologies such as AI, cloud, and data platforms.
• Coordinate across advisory, technology, and operations teams to ensure seamless delivery.
• Promote collaboration, resolve interdependencies, and foster knowledge sharing for efficiency and innovation.
• Stay current on industry trends, regulatory changes, and competitive dynamics.
• Contribute to thought leadership through client presentations, webinars, and whitepapers.
• Mentor and guide junior team members, fostering a high-performance culture and building capabilities in client management and solution design.

Senior Associate, Client Engagement Lead

Operations

• Assess fraud operations processes, controls, case management, and monitoring effectiveness, ensuring compliance with internal policies and standardization across business units
• Develop structured recommendations to improve operational effectiveness and loss prevention, leveraging internal and external fraud detection and decisioning processes and tools
• Create executive-ready storylines and presentations to highlight operational performance and process improvement and harmonization opportunities
• Collaborate with senior team members and contribute to the development of EXL’s fraud risk capabilities in the telecommunications domain

Fraud Operations Consultant

Strategy

• Assess the design and effectiveness of credit risk policies, decisioning frameworks, and governance models across various business units and identify opportunities for standardization
• Develop structured insight-driven recommendations for credit risk supported by analysis and industry best practices, leveraging internal and external processes, analytics tools and credit risk platforms (e.g. FICO and Experian suites)
• Produce compelling executive-ready storylines and presentations that synthesize insights and drive decision-making, and highlight process improvement and integration opportunities
• Collaborate with senior team members and contribute to the development of EXL’s credit risk capabilities in the telecommunications domain

Credit Risk Strategy Consultant

Risk

• Assess the design and effectiveness of fraud processes, controls, monitoring and reporting frameworks and case management effectiveness, identifying opportunities for standardization across business units
• Develop structured insight-driven recommendations for fraud risk supported by analysis and industry best practices, leveraging internal and external fraud detection and decisioning processes and tools
• Produce compelling executive-ready storylines and presentations that synthesize insights and drive decision-making, and highlight process improvement and harmonization opportunities
• Collaborate with senior team members and contribute to the development of EXL’s fraud risk capabilities in the telecommunications domain

Fraud Risk Strategy Consultant

Consultant

• Strong hands-on experience with Microsoft Power BI (Desktop & Service) for reporting, data analysis, and visualization
• Design, develop, and deploy interactive, user-friendly, and visually compelling Power BI dashboards and reports
• Connect to multiple data sources and perform efficient data modeling using best practices
• Write complex SQL queries to extract, transform, and validate data from relational databases
• Develop and optimize data models using DAX (calculated columns, measures, KPIs, performance metrics)
• Perform data cleansing, transformation, and integration using Power Query (M Language)
• Manage scheduled data refreshes, monitor refresh failures, and resolve related issues
• Implement Row-Level Security (RLS) to manage user access and ensure data security
• Collaborate with business stakeholders to gather requirements and translate them into functional and technical specifications
• Ensure data accuracy, consistency, governance, security, and performance optimization of reports
• Maintain proper documentation for dashboards, reports, data models, and development workflows
• Troubleshoot and resolve data discrepancies, performance bottlenecks, and report-related issues
• Demonstrate excellent analytical thinking, organizational skills, prioritization ability, and strong verbal/written communication skills

Consultant II

• Own end‑to‑end delivery of daily, weekly, and monthly MIS reports for operations and leadership
• Design and maintain dashboards, scorecards, and KPI trackers
• Ensure 100% accuracy, timeliness, and consistency of reporting
• Analyze trends, productivity, SLA, efficiency, and performance metrics
• Highlight risks, opportunities, and actionable insights for business leaders
• Support client and internal reviews with meaningful data narratives
• Drive automation of recurring MIS using Excel VBA, Power BI, SQL, or Power Automate
• Reduce manual effort and TAT through process improvements
• Support migration from spreadsheet‑based reporting to BI platforms
• Work closely with Operations, Analytics, Finance, HR, and IT teams
• Translate business requirements into reporting solutions
• Act as single point of contact for MIS for assigned accounts/programs
• Manage and review work of MIS analysts/executives
• Ensure adherence to SLAs, quality benchmarks, and best practices
• Coach team members on reporting standards and analytics skills
• Maintain data definitions, SOPs, and documentation
• Ensure compliance with EXL data security, audit, and client requirements

Manager, MIS

Data Scientist

• Develop and deploy fraud detection models for insurance claims using statistical and machine learning techniques
• Perform exploratory data analysis (EDA), feature engineering, and hypothesis testing to identify fraud patterns and anomalies
• Build, evaluate, and optimize traditional statistical models as well as tree‑based models such as Random Forest, XGBoost, CatBoost, LightGBM etc.
• Independently conduct data analysis, research, and model experimentation, and translate findings into actionable insights
• Write clean, efficient, and production‑ready code using Python and SQL
• Work extensively with large datasets using cloud platforms, primarily Google Cloud Platform (GCP)
• Query and manage data using BigQuery, and handle datasets stored in Cloud Storage (Buckets)
• Use Git for version control, collaboration, and code review
• Prepare clear, concise, and impactful presentations for clients, explaining analytical findings to both technical and non‑technical stakeholders
• Collaborate with business, data engineering, and client teams to ensure models align with fraud investigation and business objectives

Data Engineer

• Understand and translate business needs into data models supporting long-term solutions.
• Perform reverse engineering of physical data models from databases and SQL scripts.
• Analyse data-related system integration challenges and propose appropriate solutions.
• Assist with and support setting the data architecture direction (including data movement approach, architecture/technology strategy, and any other data related considerations to ensure business value).

AWS Data Engineer

• Understand and translate business needs into data models supporting long-term **
• solutions. **
• Perform reverse engineering of physical data models from databases and SQL **
• scripts. **
• Analyse data-related system integration challenges and propose appropriate **
• solutions. **
• Assist with and support setting the data architecture direction (including data **
• movement approach, architecture/technology strategy, and any other data**
• related considerations to ensure business value). **

Frontend Engineer

• Design UX/UI for a web application in Power Apps: create user flows, wireframes, and screen layouts that prioritize clarity and usability.
• Build and configure Power Apps (Canvas app preferred) for responsive, modern web experiences (navigation patterns, forms, components, theming).
• Implement search and browse user experiences: filters, sorting, keyword search patterns, empty/error states, and clear results presentation.
• Create reusable UI components (component libraries, templates, consistent styling) to ensure scalability and speed of iteration.
• Integrate with data sources (e.g., Dataverse, SharePoint, SQL, APIs via connectors) and coordinate data contracts with backend/data owners.
• Optimize performance and usability: reduce load times, streamline formulas, manage delegation, and ensure responsiveness across devices/browsers where applicable.
• Ensure accessibility and design quality: implement accessible controls, keyboard navigation considerations, readable layouts, and consistent visual hierarchy.
• Collaborate and communicate effectively: run requirement discovery sessions, propose UX options, iterate quickly based on feedback, and document decisions.
• Maintain quality and reliability: testing, debugging, versioning, environment promotion support (Dev/Test/Prod), and adherence to platform governance.

Frontend Developer – Power Apps

Engineer

• Build and manage BI infrastructure using **Infrastructure as Code (Terraform)**
• Deploy and operate BI workloads on **Kubernetes, Red Hat OpenShift, and ARO**
• Implement **CI/CD pipelines** using **GitHub** for BI and platform deployments
• Manage **YAML-based configurations** for Kubernetes/OpenShift workloads
• Enable hybrid and cloud analytics architectures (On-prem ↔ Cloud)
• Ensure platform security, RBAC, monitoring, and operational stability

Platforms Engineer

• Assist in preparation of critical documentation like Operations Standard Document (OSD), BISRA (Business Information Security Risk Assessment) etc. for assigned business/operations area.
• Implement controls in operational areas as defined by OSD, contractual requirements and other policies. Liaise with other corporate functions for implementation of EXL policies and procedures.
• Perform and design compliance/audit reviews for assigned business/operations area.
• Monitor risks & controls. Identify/report exceptions and action plans.
• Drive awareness and trainings on key risk and compliance aspects (L&D trainings, corporate trainings and other external/internal trainings).
• Overall responsibility for ‘Compliance Self-assessment’ exercise.
• Facilitate timely closure of issues identified in internal/external audits/reviews.

Lead Assistant Manager – F&A

• Design, build, and maintain scalable, secure, and high-performance data pipelines on GCP.
• Develop and manage ETL/ELT workflows using Python, SQL, Cloud Composer, and DataProc.
• Create and optimize enterprise-grade data models and storage solutions using BigQuery.
• Partner with Data Science teams to support model development, experimentation, feature engineering, and ML pipeline deployment, including leveraging Vertex AI.
• Set up and maintain CI/CD pipelines using GitHub Actions, ensuring automated testing, versioning, and deployment of data workflows.
• Use GKE to orchestrate containerized data applications and services.
• Implement best practices in data quality, version control, monitoring, and performance tuning.
• Collaborate with cross-functional teams (Product, Engineering, Data Science, Business) to translate data needs into technical solutions.
• Ensure data governance, security, and compliance with enterprise and regulatory standards.

Senior Engagement Manager, Fraud Strategy

Project Manager – AVP

Senior Associate, Client Engagement Lead

Fraud Operations Consultant

Credit Risk Strategy Consultant

Fraud Risk Strategy Consultant

Consultant II

Manager, MIS

Data Scientist

AWS Data Engineer

AWS Data Engineer

Frontend Developer – Power Apps

Platforms Engineer

Lead Assistant Manager – F&A

GCP Data Engineer