Job Details

Job Description

EXL (NASDAQ: EXLS) is a global analytics and digital solutions company that partners with clients to improve business outcomes and unlock growth. Bringing together domain expertise with robust data, powerful analytics, cloud and AI to create agile, scalable solutions and execute complex operations for the world's leading corporations. EXL was founded on the core values of innovation, collaboration, excellence, integrity and respect, creating value from data to ensure faster decision-making and transforming operating models. Key industries include Insurance, Healthcare, Banking and Financial Services, Media, and Retail among others.

Our organization is headquartered in New York and comprises a workforce exceeding 55,000 employees, operating from more than 50 offices across six continents. For information, visit www.exlservice.com.

Responsibilities

Role and Responsibilities:

As the Fraud Strategy Engagement Manager, you will lead the design and optimization of fraud detection and prevention strategies across the lifecycle (application, account, and transaction). You will combine analytics, rules, and models to reduce losses and customer friction while partnering cross-functionally to execute at scale

• 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.

• 7+ years of experience in Marketing Data Science, along with in consulting, solution design and client management
• Unsecured lending experience with Banks / FinTechs
• Experience with fraud platforms (e.g., Actimize/FICO/SAS) and feature engineering from digital/device/behavioral data
• Hands-on with rules design, model usage, segmentation, and A/B testing.
• Understanding of KYC/IDV, dispute/chargeback flows, and control/audit needs
• Demonstrable leadership ability, superior problem solving and people management skills
• Excellent communication, presentation and story building skills in a consulting setup
• Master's degree in economics, mathematics, 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 apply