What You'll Do:- Solve the "Why," not just the "What": You will design and deploy causal inference models to drive our underwriting and portfolio management strategies. Correlation isn't enough when you're managing risk.
- Build the Core Engine: You will create and refine the algorithms for credit pricing, personalization, and ranking. Your code will directly impact the wallet of the consumer and the margin of the company.
- Own the Infrastructure: You won't just hand off a Jupyter notebook to an engineer. You will lead ML infrastructure projects, ensuring observability and operational excellence for the models you build.
Who You Are:- You have deep theoretical roots. We are explicitly looking for candidates with a strong academic background (PhD preferred) who understand the first principles of classification, forecasting, and optimization.
- You are a builder, not just a researcher. While you love the theory, you have at least 5 years of experience applying it in a production environment. You write production-grade Python and SQL.
- You value velocity. You understand that a perfect model shipped next year is worth less than a great model shipped next week. You can balance intellectual rigor with the need to execute.
- You are happy in NYC. This is an in-office role. We believe the hardest problems are solved when smart people are in the same room with a whiteboard.
What's on the Table- Significant Equity (You're building the company, you should own it).
- 100% medical, dental & vision insurance coverage for you (50% for dependents).
- Unlimited PTO (that we actually expect you to take).
- 401(k).
- Extended maternity and paternity leave.
- Relocation support and Sabbatical program.
About the ProcessWe know you're busy, so we don't do 8-stage interviews.
- Quick chat with the Hiring Manager to align on expectations.
- A business case/technical assessment (relevant to the actual job).
- Onsite interview in NYC to meet the team.
- Offer.
This isn't a job for someone who wants to hide in the back office; it's for someone who wants their math to move the market. 
