Analytics Manager, Full Stack (fraud Analytics)

Affirm Affirm · Fintech · United Kingdom · Remote · Core Analytics

This role focuses on developing strategies for monitoring and preventing fraud, leveraging data analytics to identify loss drivers, and optimizing fraud management strategies. It involves reporting on fraud trends, responding to fraud rings, and assisting in the evaluation and development of new features/signals to improve fraud detection capabilities. The role also includes team planning, goal setting, and mentorship.

What you'd actually do

  1. Develop strategies for monitoring and preventing fraud across our network, advising on best practices and ensuring the strategies align with risk management goals.
  2. Leverage advanced data analytics to identify loss drivers, derive insights and optimize fraud management strategies
  3. Report on fraud trends and loss drivers to cross functional partners and senior management
  4. Quickly respond to fraud rings and ensure issues raised by other teams are addressed in a timely manner
  5. Work together with our operations team to help limit losses and ensure optimal review volumes

Skills

Required

  • Extensive experience writing and analyzing SQL queries
  • Comfort using python or other scripting languages for data analysis
  • Ability to build strong cross functional partnerships
  • Ability to communicate analyses and recommendations clearly to both technical and non-technical audiences
  • Strong time management skills
  • Working knowledge of the fundamentals of payment processing
  • Understanding of industry risk trends
  • Familiarity with risk strategy development

Nice to have

  • 7+ years of experience in Fraud Management or a related field preferred with a prior emphasis on analytics
  • Passion to understand how the product works and how to change it to make it more effective
  • Bachelor’s degree, or local equivalent, in a quantitatively rigorous field like engineering, statistics, math, finance, economics desired

What the JD emphasized

  • Fraud Management
  • fraud detection
  • fraud management strategies
  • fraud trends
  • fraud rings
  • fraud detection capabilities