You'll work in Python, SQL, and PySpark on Databricks, with Datadog for monitoring and standard MLOps tooling for deployment. You'll partner with Engineering, Product, and Risk to develop the payment strategy as an input to the engineering roadmap.
What You'll Bring
Qualification
How we workThis is a Hybrid position
Required
This role requires depth in the data science fundamentals and payments domain knowledge. You should have experience with modeling, production monitoring, and experiment design, and an in-depth understanding of payment rails (ACH, RTP, card, and interchange) and payment behavior. Hands-on production ML development is essential: you have built a model, deployed it, watched it drift, and retrained it, using tooling like XGBoost and MLflow or their equivalents. You bring strong Python and SQL, plus comfort with large datasets in a distributed environment such as PySpark on Databricks, experimentation and causal inference skills, and the judgment to know which method a question calls for, as well as feature engineering instincts for transactional data. You hold a high bar for your own work: you understand your data before you draw conclusions from it, and you'd rather find the flaw in your analysis yourself.
Preferred
Direct fraud modeling experience and a background in collections, recovery, or lending operations in a regulated space are nice to have.
How we work. We expect you to act with ownership—you'll be defining what healthy payments means here, not waiting for a spec. We take a scientific approach: rapid experimentation, intellectual honesty, and a willingness to change your mind when the data says so. And this role is mission-driven in a concrete way, because the strategies you design touch real people's bank accounts. We optimize for customers ending up better off, not just for dollars collected.
Possible Finance is on a mission to help communities break the debt cycle and unlock economic mobility for generations to come. With the backing of our venture investors (Union Square Ventures, Canvas Ventures, Euclidean Capital, Unlock Venture Partners), a loyal following of hundreds of thousands of customers, and a fantastic team, we're unwavering in our fight for financial fairness. As one of only a few fintech Public Benefit Corporations, we've baked our dual commitment to building a profitable and socially impactful company right into our charter; we only succeed when our customers do too. If you'd like to help us ship financial products that protect consumers from predatory lending practices and promote financial health, give us a shout.
This is a Hybrid position. We work in the office three days a week (Monday, Tuesday, Thursday). Our office is in downtown Seattle.
The compensation range for this role is $175,720 to $191,000. We also offer significant stock options, full benefits, a bonus plan, commuter benefits, and a very desirable office with free drink and food options.
