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Salary
≈ $75k – $153k per year (Estimated)
Location
In office (Canada)
Seniority
Senior · 12+ years exp

Confirmed on the employer's own hiring board on Oct 22, 2026. First seen by Alion on Oct 20, 2026. EXL scores B on the Alion truth index.

Overview
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EXL

EXL, legally ExlService Holdings, is a data analytics, AI and digital operations company headquartered in New York that runs outsourced business processes and builds data and AI solutions for insurers, healthcare organisations, banks, media and retail companies. Founded in 1999 and listed on Nasdaq, it has more than 60,000 employees across six continents, with large delivery centers in Noida, Gurgaon, Pune, Bengaluru and Chennai and a newer AI hub in Dublin. It hires data scientists and data engineers, GenAI and MLOps engineers, analytics managers, solution consultants and client partners, plus talent acquisition, finance and medical coding staff.

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.

  • 12+ 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

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