Talent.com
Fraud & Risk Lead

Fraud & Risk Lead

Selby JenningsSan Francisco, United States
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Responsibilities

  • Analyze issuer-level data and third-party signals (, Visa VAA, Mastercard DI, Amex Enhanced Auth) to detect emerging fraud patterns.
  • Develop rules, scoring features, and risk models for application, transaction, and payment workflows.
  • Prototype machine learning models in Python and deploy them using internal tools.
  • Build monitoring dashboards to detect anomalies before they impact customers or finances.
  • Forecast fraud losses across vectors like synthetic identity, rewards abuse, transaction fraud, and account takeovers.
  • Evaluate new fraud prevention tools (, device fingerprinting, biometric verification) and rmend those with measurable ROI.
  • Design fraud mitigation strategies that balance risk reduction with user experience.

Requirements

  • 7+ years of experience in fraud or credit risk at card issuers or high-growth fintechs.
  • 4+ years of hands-on experience using SQL and Python or R to analyze large,plex financial datasets.
  • Proven success in deploying production-level fraud detection models or rule sets that reduce fraud without harming approval rates.
  • Experience with data visualization tools to create insightful dashboards.
  • Strong background in A / B testing and interpreting results to drive decisions.
  • Ability to manage multiple priorities in a dynamic, fast-paced environment.
  • Excellentmunication skills-you can explainplex risk concepts to non-technical stakeholders.
  • A degree in a quantitative field is a plus, but practical experience and problem-solving ability matter more.

    • Ideal Candidate Traits

  • Experience building scalable fintech products, especially in B2B or platform environments.
  • Detail-oriented with the ability to think deeply and act quickly when needed.
  • Curious and interdisciplinary-eager to explore new ideas and ask tho

    • Job ID PR / 551902

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    Risk Risk Lead • San Francisco, United States