Job Openings Engagement Manager - Fraud Strategy

About the job Engagement Manager - Fraud Strategy

Role: Engagement Manager - Fraud Strategy

Location: San Francisco, CA (Hybrid: 2-3 days from office/ week)

Compensation: $160k - $180k + 15% Bonus

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.

Candidate Profile:

  • 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
  • Handson 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