Fraud Analytics Lead

Fraud Analytics Lead

This job is no longer open

Affirm is reinventing credit to make it more honest and friendly, giving consumers the flexibility to buy now and pay later without any hidden fees or compounding interest.

The Fraud team works cross-functionally with Machine Learning, Product, Engineering, Operations to combat fraudulent activities to foster a safe platform.

This role requires a lot of cross-functional partnership. This individual will be the representative of the Analytics org, leading the charge on refining our Identity Verification and Fraud processes as well as our Application flow! Additionally, this role will work closely with the Machine Learning teams to improve our Fraud solution.

Come join us in our mission to change consumer finance through better technology, lower costs, and increased transparency while providing the best customer experience!

What you'll do

  • Proactively explore data and identify opportunities to help accelerate product development and improve existing products
  • Own end-to-end analytics workflow, including defining success and performance metrics, socializing them across the organization, and creating actionable dashboards and reports
  • Set rules, policies, recommendation for fraud risk management
  • Evaluate innovative data sources to solve individual identity risk, device risk and transaction risk
  • Partner with Machine Learning on building new fraud strategies
  • Translate analysis results to recommend rule creation and implementation
  • Develop recommendations to optimize the link between the analysis performed by the Fraud strategy team and the work performed by the Risk Ops
  • Support new product formation and new vertical exploration

What we look for

  • Experience - 5+ years work experience as a data analyst
  • Product knowledge - Passion to understand how the product works and how to change to make it more effective
  • Technical skills - Fluent in SQL, Experience with Python, or other scripting languages
  • Communication - Ability to communicate findings and recommendations clearly to both technical and non-technical audiences
  • Multi-tasking - Strong time management skills and the ability to manage multiple projects and priorities
  • Risk knowledge - Working knowledge of the fundamentals of payment processing and an understanding of industry risk trends, including familiarity with risk strategy development.
  • Ability to thrive in a fast-paced environment and be responsive and available during times of peak fraud activity
We’re excited to announce that Affirm is now a remote-first company! This role can be located anywhere in the U.S. and Canada (with the exception of Quebec). Remote based employees may occasionally travel to an Affirm office for meetings or team building events. Our offices in San Francisco, New York City, Pittsburgh, Chicago, and Salt Lake City will remain operational and accessible for anyone to use on a voluntary basis.
If you got to this point, we hope you're feeling excited about the job description you just read. Even if you don't feel that you meet every single requirement, we still encourage you to apply. We're eager to meet people that believe in Affirm's mission and can contribute to our team in a variety of ways – not just candidates who check all the boxes.
At Affirm, "People Come First" is a core value and that’s why diversity and inclusion are vital to our priorities as an equal opportunity employer. You can read about our D&I program here and our progress thus far in our 2019 D&I report.
We will consider for employment qualified applicants with arrest and conviction records in accordance with applicable federal, state and local laws, including the San Francisco Fair Chance Ordinance. By clicking "Submit Application," I acknowledge that I have read the Affirm Employment Privacy Policy, and hereby consent to the collection, processing, use, and storage of my personal information as described therein.
This job is no longer open
Logos/outerjoin logo full

Outer Join is the premier job board for remote jobs in data science, analytics, and engineering.