Fraud Analyst

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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, and Operations to combat fraudulent activities to cultivate a safe platform.

This individual will support our team’s fraud monitoring and detection efforts and serve as the main point of contact for fraud escalations. Additionally, this role will work closely with our cross functional partners to help improve our fraud decisioning systems.

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

  • Monitor fraud across our network and serve as a point of contact for critical issues from other team members
  • Research emerging fraud trends by pulling data from our data warehouse and monitoring key metrics
  • Quickly respond to fraud rings and work with our operations team to limit losses
  • Assist with the development of our fraud monitoring strategy and identify any potential gaps
  • Assist with evaluation and development of new external or internal features/signals to improve our fraud detection capabilities

What we look for

  • EXPERIENCE - Minimum 2 years of experience in Fraud Management or a related field preferred including prior experience with analytics
  • PRODUCT KNOWLEDGE - Passion to understand how the product works and how to change to make it more effective
  • Able to thrive in a fast-paced environment and be responsive and available during times of peak fraud activity
  • TECHNICAL SKILLS - Prior experience writing and analyzing SQL queries
  • 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
  • EDUCATION - Bachelor’s degree in a quantitatively thorough field like engineering, statistics, math, finance, economics desired
  • INDUSTRY KNOWLEDGE - Working knowledge of the fundamentals of payment processing and an understanding of industry risk trends, including familiarity with risk strategy development.

Location

 

We’re excited to announce that Affirm is now a remote-first company! This role can be located anywhere in 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.

 

#LI-Remote

Check out our remote-first approach to learn more about the new ways we work.

 

If you got this far, we hope you're feeling excited about this role. Even if you don't feel you meet every single requirement, we still encourage you to apply. We're eager to meet people who 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 one of our core values, 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 2020 DEI Report.

We also believe It’s On Us to provide an inclusive interview experience for all, including people with disabilities. We are happy to provide reasonable accommodations to candidates in need of individualized support during the hiring process.

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.

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