3 days ago

Data Scientist - Fraud Risk

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 19 hours agoStatus: Live

Job Summary

Own fraud risk analytics that drive business decisions by building metrics, dashboards, and reports. Design and implement real-time fraud monitoring, alerts, and alert thresholds. Develop and deploy real-time and offline predictive ML models for risk controls, balancing loss savings with customer experience and margin improvement. Partner with go-to-market teams and summarize analytical results for technical and non-technical stakeholders.

Location: New York

Workplace: Hybrid

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Mid level

Key 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 and summarize complex analytical results to leadership and non-technical stakeholders.

Pay and Benefits

Salary: USD 50,000 - 999,999 annually

Perks:Paid LeaveHealth InsuranceDentalVisionLife Insurance401kEquityGym Membership

Key Requirements

•Advanced proficiency in SQL and Python.
•3+ years building automated fraud risk strategies and experimentation (A/B tests), including real-time and offline predictive ML models.
•Experience designing, building, and maintaining dashboards and fraud risk metrics.
•Ability to manage ambiguous problems and find solutions.
•Relevant quantitative bachelor’s (or higher) degree (Statistics, Mathematics, Engineering, Computer Science, etc.).

Experience:3+ yearsFraud risk

Education:Bachelor's in Statistics, Mathematics, Engineering, Computer Science, etc.

Skills:Analytical communicationAutonomyProblem-solvingStakeholder managementData storytelling

Tech Stack:SQLPythonA/B testingMachine learningDashboards

Company Brief

Rain

Rain builds stablecoin-powered card issuance and payments infrastructure for fintechs, platforms, and institutions. Its API and modular platform support on-ramps, wallets, cards, and off-ramps with compliance features like KYC and AML.

Industry: Fintech Infrastructure

Company Size: Medium (51 to 250 employees)

Growth: Growth Stage Startup

Headquarters: New York City, United States

Founded: 2021

Website LinkedIn

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Rain

3 days ago

Data Scientist - Fraud Risk

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 19 hours agoStatus: Live

Job Summary

Location: New York

Workplace: Hybrid

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Mid level

Key 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 and summarize complex analytical results to leadership and non-technical stakeholders.

Pay and Benefits

Salary: USD 50,000 - 999,999 annually

Perks:Paid LeaveHealth InsuranceDentalVisionLife Insurance401kEquityGym Membership

Key Requirements

•Advanced proficiency in SQL and Python.
•3+ years building automated fraud risk strategies and experimentation (A/B tests), including real-time and offline predictive ML models.
•Experience designing, building, and maintaining dashboards and fraud risk metrics.
•Ability to manage ambiguous problems and find solutions.
•Relevant quantitative bachelor’s (or higher) degree (Statistics, Mathematics, Engineering, Computer Science, etc.).

Experience:3+ yearsFraud risk

Education:Bachelor's in Statistics, Mathematics, Engineering, Computer Science, etc.

Skills:Analytical communicationAutonomyProblem-solvingStakeholder managementData storytelling

Tech Stack:SQLPythonA/B testingMachine learningDashboards

Company Brief

Rain

Industry: Fintech Infrastructure

Company Size: Medium (51 to 250 employees)

Growth: Growth Stage Startup

Headquarters: New York City, United States

Founded: 2021

Website LinkedIn