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HomeCompaniesRainData Scientist - Fraud Risk

Data Scientist - Fraud Risk

Rain · New York, NY · Hybrid · Active · Ashby

Job facts

FieldValue
CompanyRain
TitleData Scientist - Fraud Risk
Normalized title-
Department / teamEngineering / Engineering
LocationNew York, NY, United States
Work modelHybrid / Hybrid
Employment typeFull Time
Salary-
Statusactive
ATS providerAshby
Posted / first seen / 2026-05-29
Changed / last seen2026-05-29 / 2026-06-06

Related slices

PageWhat it containsOpen
Company jobsActive postings from Rain.Open
Company breakdownsRole, location, ATS, and work model facets for this company.Open
ATS provider jobsActive postings observed through Ashby.Open
Provider filtered searchThe same provider as a filtered job collection.Open
City jobsActive postings in New York.Open
Department jobsActive postings in Engineering.Open
Work model jobsActive Hybrid postings.Open
Lifecycle eventsOpen, update, close, and reopen events for this posting.Open
Original postingCanonical source or apply URL captured from the ATS.Open

Linked records

CompanyRain
Sourceb8de8834-0cb4-47a7-ad26-513b34196b4e
ATS providerAshby

Description

About the Company Rain makes the next generation of payments possible across the globe. We’re a lean and mighty team of passionate builders and veteran founders. Our infrastructure makes stablecoins usable in the real-world by powering card transactions, cross-border payments, B2B purchases, remittances, and more. We partner with fintechs, neobanks, and institutions to help them launch solutions that are global, inclusive, and efficient. You will have the opportunity to deliver massive impact at a hypergrowth company that is funded by some of the top investors in fintech, crypto, and SaaS, including Sapphire Ventures, Norwest, Galaxy Ventures, Lightspeed, Khosla, and several more. 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 Team The fraud risk management team at Rain creates sophisticated, scalable risk mitigation solutions to protect our customers and provide them a low-friction experience. We achieve this by maintaining transaction and lifecycle event monitoring, building alerts to speed up fraud detection and response, and creating risk rules and strategies empowered with ML models. We are a pillar of the business supporting new products and ensuring their success. Rain’s next generation payment technology brings unique and new fraud vectors requiring holistic, end-to-end thinking, strong data fundamentals and fraud management savvy to combat. What you’ll do Own the metrics, dashboards, and reports that inform business strategy and decision-making Design and implement real-time monitoring systems for fraud signals and alerting thresholds Design, simulate, and implement real-time risk controls using real-time and offline predictive ML models Balance risk controls with customer experience by focusing on loss savings, reduced user friction, and margin improvement Partner with go-to-market teams to demonstrate the technical and business value of risk controls to customers Effectively summarize complex analytical results to leadership and non-technical stakeholders Assist partners when they have fraud concerns with their traffic What we're looking for Advanced proficiency in SQL and Python 3+ years hands-on experience working on automated fraud risk strategies and experimentation (A/B tests), including implementation of real-time and offline predictive ML models Skilled in designing, building, and maintaining dashboards and fraud risk metrics The ability to manage ambiguous problems and find solutions High autonomy, including the ability to prioritize your workload effectively Relevant quantitative bachelor’s (or higher) degree (Statistics, Mathematics, Engineering, Computer Science, etc.) Nice to have, but not mandatory Experience at a high-growth fintech company or financial services company Exposure to customer-facing or GTM-facing analytics or fraud issue triaging Background in identity risk, AML, payments fraud, or compliance analytics Things that enable a fulfilling, healthy, and happy experience at Rain: Unlimited time off 🌴 Unlimited vacation can be daunting, so we require Rainmakers to take at least 10 days off. Flexible working ☕ We support a flexible workplace. If you feel comfortable at home, please work from home. If you’d like to work with others in an office, feel free to come in. We want everyone to be able to work in the environment in which they are their most confident and productive selves. New Rainmakers will receive a stipend to create a comfortable home environment. Easy to access benefits 🧠For US Rainmakers, we offer comprehensive health, dental and vision plans for you and your dependents, as well as a 100% company subsidized life insurance plan. Retirement goals 💡Plan for the future with confidence. We offer a 401(k) with a 4% company match. Equity plan 📦 We offer every Rainmaker an equity option plan so we can all benefit from our success. Rain Cards 🌧️ We want Rainmakers to be knowledgeable about our core products and services. To support this mission, we issue a card for our team to use for testing. Health and Wellness 📚 High performance begins from within. Rainmakers are welcome to use their card for eligible health and wellness spending like gym memberships/fitness classes, massages, acupuncture - whatever recharges you! Team summits ✨ Summits play an important role at Rain! Time spent together helps us get to know each other, strengthen our relationships, and build a common destiny. Expect team and company off-sites both domestically and internationally.

Full job record

Job ID9f6f75f5a2a35dca36b6538f875b1d66ebf43482
Org ID0bfdc2cd-2cdf-4095-b5e4-66fed25eb998
Source IDb8de8834-0cb4-47a7-ad26-513b34196b4e
Board IDb8de8834-0cb4-47a7-ad26-513b34196b4e
Providerashby
Provider Job Key5386a05e-0377-4cba-ad2f-9438c2caad67
TitleData Scientist - Fraud Risk
Normalized Title
Statusactive
Activeyes
Location TextNew York, NY
DepartmentEngineering
TeamEngineering
Employment Typefull_time
Workplace Typehybrid
Remote Policyhybrid
CountryUnited States
RegionNY
CityNew York
Salary Raw
Salary Min
Salary Max
Salary Currency
Salary Period
Source URLhttps://jobs.ashbyhq.com/rain/5386a05e-0377-4cba-ad2f-9438c2caad67
Apply URLhttps://jobs.ashbyhq.com/rain/5386a05e-0377-4cba-ad2f-9438c2caad67/application
First Seen At2026-05-29 06:41:36Z
Last Seen At2026-06-06 09:27:49Z
Last Checked At2026-06-06 09:27:49Z
Last Changed At2026-05-29 06:41:36Z
Inactive At
Source Posted At
Source Updated At
Raw Payload Uris3://job-postings-prod-raw-590183727216/raw/provider=ashby/board=rain/date=2026-06-06/2026-06-06T09-27-22-623Z-3dee846df928debad231a0d2dd3d3c6fafbd7f51fa28f64fc991ff490b8290ef.json
Event Fields
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}
Parsed Structured
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  "salary_currency": null
}
Extensions
{}
Native Structured
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  "team": "Engineering",
  "title": "Data Scientist - Fraud Risk",
  "jobUrl": "https://jobs.ashbyhq.com/rain/5386a05e-0377-4cba-ad2f-9438c2caad67",
  "address": null,
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  "isListed": true,
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  "location": "New York, NY",
  "updatedAt": null,
  "apiVersion": "ashby-non-user-graphql-v1",
  "department": "Engineering",
  "publishedAt": null,
  "workplaceType": "Hybrid",
  "employmentType": "FullTime",
  "secondaryLocations": []
}
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