Why do banks charge fees on checking accounts, an interest-free loan? Why do ACH payments like direct deposits take days to clear in an age when communication is instant? Have you ever read the fine print on a credit card?
At Affirm, we think the consumer finance industry is fundamentally broken. Banks today offer complicated and expensive financial products with a multitude of fees and gotchas buried deep in their fine print, a result of them losing touch with their customers and continuing to use inefficient and costly infrastructure built with technology from the 1970s.
We at Affirm are using modern technology to re-imagine and re-build core components of financial infrastructure to enable cheaper, friendlier and more transparent financial products that improve lives. Our first product, "Buy With Affirm", enables consumers to finance large purchases and and has been integrated into over a hundred ecommerce sites.
We are based in downtown San Francisco; founded by Max Levchin (founding CTO PayPal), Jeff Kaditz (CDO DeNA/ngmoco), and Nathan Gettings (founding CTO of Palantir); and have raised $45M from Khosla Ventures, Lightspeed Venture Partners, Nyca Partners, and others.
My team at Affirm is looking hard for data scientists, (but Affirm is also hiring software engineers, designers, PMs, and others; see the whole list at https://www.affirm.com/careers/).
RESPONSIBILITIES
- Build production fraud and credit machine learning models. Your models will decide who we lend to in real time.
- Conduct ad-hoc data analyses. Your analyses will decide what policies we adopt, where we expand our business, and who our partners will be.
REQUIREMENTS
- Deep understanding of and experience with machine learning and data analysis.
Why do banks charge fees on checking accounts, an interest-free loan? Why do ACH payments like direct deposits take days to clear in an age when communication is instant? Have you ever read the fine print on a credit card?
At Affirm, we think the consumer finance industry is fundamentally broken. Banks today offer complicated and expensive financial products with a multitude of fees and gotchas buried deep in their fine print, a result of them losing touch with their customers and continuing to use inefficient and costly infrastructure built with technology from the 1970s.
We at Affirm are using modern technology to re-imagine and re-build core components of financial infrastructure to enable cheaper, friendlier and more transparent financial products that improve lives. Our first product, "Buy With Affirm", enables consumers to finance large purchases and and has been integrated into over a hundred ecommerce sites.
We are based in downtown San Francisco; founded by Max Levchin (founding CTO PayPal), Jeff Kaditz (CDO DeNA/ngmoco), and Nathan Gettings (founding CTO of Palantir); and have raised $45M from Khosla Ventures, Lightspeed Venture Partners, Nyca Partners, and others.
My team at Affirm is looking hard for data scientists, (but Affirm is also hiring software engineers, designers, PMs, and others; see the whole list at https://www.affirm.com/careers/).
RESPONSIBILITIES
- Build production fraud and credit machine learning models. Your models will decide who we lend to in real time.
- Conduct ad-hoc data analyses. Your analyses will decide what policies we adopt, where we expand our business, and who our partners will be.
REQUIREMENTS
- Deep understanding of and experience with machine learning and data analysis.
- Strong programming ability.
BONUS
- Expert-level Python ability.
- Advanced statistics knowledge.
- Experience with fraud or underwriting.
Apply at https://www.affirm.com/careers/data-scientist/ or email us at careers@affirm.com.
FULL-TIME, INTERN, VISA, LOCAL, RELOCATION, NO REMOTE