Data Scientist, Fraud Risk

Imprint
New York, San Francisco
Workplace: RemoteFull timeUSD 170,000 - 200,000 annuallyFunction: Data Science & Machine LearningExperience: 5+ yearsSkills: ["Communication","Problem-solving","End-to-end ownership","Project ownership"]

Own onboarding fraud decisioning end-to-end, building predictive models and analytical workflows that power identity verification, KYC controls, and fraud policies from application submission through account opening. Partner with Fraud Strategy, Operations, Product, Engineering, Compliance, and Credit Strategy to evaluate third-party vendors, run A/B and shadow tests, monitor drift and data quality, and translate new fraud patterns into scalable, production-ready changes—while minimizing false positives and applicant friction.

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FursaFursa
Imprint
Imprint
2 days ago

Data Scientist, Fraud Risk

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

Source: Company careers pageValidated by: Fursa AI
Last checked: 14 hours agoStatus: Live

Job Summary

Own onboarding fraud decisioning end-to-end, building predictive models and analytical workflows that power identity verification, KYC controls, and fraud policies from application submission through account opening. Partner with Fraud Strategy, Operations, Product, Engineering, Compliance, and Credit Strategy to evaluate third-party vendors, run A/B and shadow tests, monitor drift and data quality, and translate new fraud patterns into scalable, production-ready changes—while minimizing false positives and applicant friction.
Location: New York, San Francisco
Workplace: Remote
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Own and improve onboarding fraud decisioning across identity verification, KYC controls, fraud models, policy rules, decline/verification waterfalls, and manual-review strategies.
  • •Build, validate, deploy, and monitor models to detect identity theft, synthetic identity, first-party fraud, and coordinated application abuse using identity, device, behavioral, application, bureau, network, and consortium signals.
  • •Evaluate third-party fraud and identity vendors by testing signals for incremental lift, overlap, coverage, stability, latency, and cost; recommend adding, replacing, or retiring signals.
  • •Design and analyze A/B tests, shadow tests, holdouts, and champion/challenger strategies to balance fraud losses and capture against approval rate, false positives, verification friction, and manual-review volume.
  • •Detect model drift and population shifts, investigate root causes with AI-powered workflows, and partner with stakeholders to productionize changes and communicate impact to leadership.

Pay and Benefits

Salary: USD 170,000 - 200,000 annually
Equity and Bonus:Equity
Perks:Health InsurancePaid LeaveParental LeaveFsa

Key Requirements

  • •5 to 8+ years of experience in data science, risk analytics, or a related quantitative field, ideally in a high-growth startup or fintech environment.
  • •Strong Python and SQL skills to build models, transform data, and create custom datasets from complex financial inputs.
  • •Experience building and evaluating predictive models for fraud, identity, KYC, AML, trust & safety, or other adversarial classification problems.
  • •Strong understanding of supervised machine learning, model validation, backtesting, calibration, feature engineering, and production monitoring.
  • •Ability to design and analyze experiments (A/B tests, holdouts, champion/challenger) and evaluate decision systems using fraud capture, loss rate, false positives, approval impact, and verification friction.
Experience:5+ years
Skills:CommunicationProblem-solvingEnd-to-end ownershipProject ownership
Tech Stack:PythonSQLSnowflakeAWS

Company Brief

Imprint
Builds a modern co-branded financial platform that partners with consumer brands to design, launch, and operate credit, deposit, and loyalty products that drive engagement, spend, and long-term customer value.
Industry: Fintech Infrastructure
Company Size: Medium (51 to 250 employees)
Growth: Scaleup
Valuation: Unicorn (USD 1B+)
Funding: Series D
Headquarters: New York, United States
Founded: 2020
Glassdoor
Glassdoor: 3.0
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