Data Scientist - Fraud Risk at Rain | NY, US | Rezi

Data Scientist - Fraud Risk at Rain

Data Scientist - Fraud Risk

Rain · NY, US

1 months ago

Data Scientist - Fraud Risk

Rain · NY, US

2 months ago
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About the Role

Rain makes the next generation of payments possible across the globe. 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. If you’re curious, bold, and excited to help shape a borderless financial future, we’d love to talk.

Responsibilities

  • 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

Requirements

  • 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.)
  • 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
  • Fluency in AI-assisted data analysis / data science tooling

Skills

  • SQL
  • Python
  • ML models
  • Data analysis
  • Data science tooling

Location

  • Remote
  • Onsite

Work Type

  • Flexible working

Experience Level

  • 3+ years hands-on experience

Education Level

  • Bachelor's degree (or higher) in Statistics, Mathematics, Engineering, Computer Science, or related field

Benefits

  • Unlimited time off (minimum 10 days required)
  • Flexible working environment
  • Stipend for home office setup
  • Comprehensive health, dental, and vision plans for employees and dependents (US)
  • 100% company-subsidized life insurance plan (US)
  • 401(k) with a 4% company match
  • Equity option plan
  • Rain Cards for product testing
  • Reimbursement for eligible health and wellness spending (e.g., gym memberships, massages)
  • Team summits and off-sites

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.
  • Funded by top investors in fintech, crypto, and SaaS, including Sapphire Ventures, Norwest, Galaxy Ventures, Lightspeed, Khosla, and several more.
  • We believe in an open and flat structure.
  • Team members at all levels have the freedom to explore ideas and impact the roadmap and vision of our company.