Financial Crimes & Risk Data Analyst

About the Company Rain is the global stablecoin payments platform for enterprises, neobanks, platforms, developers, and AI agents. Our technology allows partners to move, store, and use stablecoins instantly and compliantly through global payment cards, rewards, on/offramps, wallets, and cross-border rails. As both a Visa and Mastercard Principal Member, Rain issues cards that work at more than 175 million merchant locations in over 220 countries and territories. Built natively for stablecoins and trusted by more than 100 organizations worldwide, Rain delivers secure, scalable infrastructure that makes money move freely and instantly around the world. You will have the opportunity to deliver massive impact at a hypergrowth company backed by some of the top investors in fintech, crypto, and SaaS. In January 2026, we closed a $250M Series C led by ICONIQ, valuing Rain at $1.95B, with Sapphire Ventures, Dragonfly, Bessemer Venture Partners, Galaxy Ventures, FirstMark, Lightspeed, Norwest, and Endeavor Catalyst also participating. If you're curious, bold, and excited to help shape a borderless financial future, we'd love to talk. Our Ethos We believe in an open and flat structure. You will be able to grow into the role that most aligns with your goals. Our team members at all levels have the freedom to explore ideas and impact the roadmap and vision of our company. About the T [... source excerpt omitted ...] d digital asset activity to increase detection quality and reduce false positives Conduct deep-dive investigations into emerging risk patterns and convert findings into scalable, production-ready monitoring logic Analyze alert and case data to evaluate rule performance (e.g., false positive rates, alert-to-case conversion, escalation outcomes) and recommend data-driven optimizations Partner with Compliance Investigations to identify typologies and ensure monitoring logic reflects real-world risk signals and regulatory expectations Support the design and refinement of onboarding and KYC/KYB risk segmentation frameworks Build and maintain dashboards and recurring reporting that [... source excerpt omitted ...] vel data and building or optimizing rule-based monitoring logic Familiarity with AML/BSA concepts and transaction monitoring frameworks Ability to translate ambiguous regulatory requirements into structured, data-driven logic Strong analytical thinking and ability to independently structure open-ended problems Bonus attributes: Python experience (pandas, Polars, or similar) for deeper analysis and automation Familiarity with KYC/KYB vendors (e.g., Sumsub, Alloy, Persona, etc.) Experience designing Retool workflows, internal tools, or compliance dashboards Exposure to card network data, ACH flows, wire transactions, or digital asset monitoring Experience supporting regulatory