Senior Data Scientist, Fraud & Risk

RevenueCat gives app businesses the infrastructure and tools to build, run, and improve their monetization. Since graduating from YC's S18 batch, we've grown into the default monetization platform for mobile.

We're in 50%+ of newly shipped subscription apps, we process $16B+ in annual purchase volume, and we help everyone from a solo developer to the OpenAI mobile team understand and grow their revenue.

We're a remote-first team of 150+ people across 25+ countries, guided by values we actually practice: Customer Obsession, Always Be Shipping, Own It, and Balance.

This isn't the right fit for everyone. The systems you’ll build here manage billions of dollars and touch hundreds of millions of end users, and we don’t take that lightly. You'll be expected to work hard and hold a high bar for what you ship, alongside some of the sharpest, most driven people you've worked with. If that sounds energizing rather than exhausting, keep reading.

The Role

We're looking for a Data Scientist to support product initiatives for RevenueCat Capital , with deep experience in lead qualification, anomaly detection, fraud prevention, and underwriting.

This is a chance to be the founding Data Scientist embedded within the Capital team, a greenfield opportunity to scale our new fintech business lines from <$1M to $100M+.

You'll partner directly with leadership, collaborate across teams, and bring a new product to life inside RevenueCat. Your work will touch real money, real developers, and a product that is just getting started. Read more about the opportunity here .

The Opportunity: RC Capital

RevenueCat is on a mission to help developers make more money. We build software that helps apps implement and manage purchases, with over 50% of new subscription apps on the App Store launching with RevenueCat. OpenAI's mobile subscriptions run on RC. Top of funnel metrics are up 300%+ YoY.

RC Capital is our next chapter: we'll continue to help developers make more money, not just through software, but through financial products. Financial institutions would love to have what we already have:

Trust + distribution: App developers already trust us in their purchase flow — the highest stakes moment in any user journey.

Real-time, verifiable data: Cross-platform revenue plus leading indicators like installs, trials, conversions, and refunds.

Unmatched industry insights: We know how apps earn money at scale, which improves underwriting and product design.

Our first product is Daily Payouts : a factoring product that lets developers get app store proceeds sooner. Scaling it is a big challenge, but it’s just the beginning. There’s so much more to build: credit cards, revenue-based lending, cohort-based financing. We’ve got a mountain to climb.

What you'll do

Own the Data Science strategy for RC Capital. Build the foundation for our underwriting and fraud detection systems from the ground up. Nothing is locked in, you'll define the models, the signals, and the approach.

Develop sophisticated models for lead qualification, anomaly detection, fraud prevention, and credit underwriting. All this using the richest, most real-time app revenue data in the world.

Partner closely with Product and Engineering to integrate risk signals and underwriting logic into customer-facing flows and internal decisioning engines.

Analyze cross-platform revenue data to uncover insights that improve our underwriting models and product design.

Build mechanisms for measuring impact , evaluating model performance, and driving prioritization of new data initiatives.

Operate with high ownership in an ambiguous, fast-moving environment helping to define the long-term vision for our financial products.

About you

You are a Senior Data Scientist who cares deeply about impact and has direct experience with the kind of models that carry real financial consequence. From a skills perspective, you bring: