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Data Science Manager, Model Risk

SentiLink· Technology
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Remote$210k - $240kFull-timePosted 2mo ago

About the role

SentiLink builds fraud detection and identity verification models used by US financial systems. The role leads a 3+ person data science team, owning model risk strategy, governance, and end-to-end technical core, with hands-on modeling work and collaboration with major banks and regulators.

Responsibilities

  • Manage a team of 3+ data scientists and set how they work.
  • Own strategy and execution for model risk: roadmap, priorities, and what we automate or standardize.
  • Own the technical core: performance and drift monitoring, validation, calibration and stability testing, fair lending and bias assessments, model inventory, and change management.
  • Build assurance models that audit production models, surface product gaps, and produce unbiased evaluation metrics.
  • Move AI from one-off projects to a first-tier tool across the team's work.
  • Act as an independent technical counterpart to Applied ML: review methodology and translate model changes into risk impact.
  • Produce validation reports and documentation for leadership, customers, auditors, and regulators, and track findings to remediation.
  • Work with partner model risk teams at major banks and FIs, alongside Partner Success.

Qualifications

  • 6+ years applying statistics, ML, or quantitative analytics in industry, including 3+ years managing DS, analytics, or quant risk teams.
  • Background in at least one of: model or portfolio risk analytics; modeling in a supporting or consulting role, internal or external; large-scale analytics, reporting, or BI.
  • Degree in Statistics, Math, CS, Economics, Physics, or another quantitative field.
  • Strong hands-on Python, including building recurring pipelines, monitoring, or reporting. Working knowledge of Git and SQL.
  • Experience with cloud data and compute: object storage like S3 and remote compute like SageMaker or Databricks. AWS preferred.
  • Able to read a model and interrogate its methodology: performance evaluation, calibration, drift, backtesting, and fairness.
  • Track record of measurable business impact, end to end.
  • Proficient with AI tools in daily work: effective prompting, building and using agent skills, and AI-assisted coding and analysis.
  • Sound judgment with sensitive data, and clear communication with technical and non-technical audiences.
  • Bachelor's degree in a quantitative field (Math, Statistics, CS, Engineering, Economics, or related STEM)
  • Must be legally authorized to work in and reside in the US

Skills

Required:PythonGitSQLAWS

Benefits

  • Employer paid group health insurance for you and your dependents
  • 401(k) plan with employer match (or equivalent for non US-based roles)
  • Flexible paid time off
  • Regular company-wide in-person events
  • Home office stipend, and more!
Last updated Oct 22, 2026. Interested? Apply on the company site.

About SentiLink

The fraud experts

SentiLink combines technology and expertise to help financial institutions stop identity fraud at the application stage.

fraudidentity theftrisk solutionsdata & insightssecurityfinancial institutionsfintechsproducts
Company profileWebsite

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