Manager, Model Risk and Governance

SentiLink · Remote · United States ·
Fully remoteFull-timeLead8+ years
COMPENSATION
€•• – ••k
0 applicants so far

Listed on the employer's job board (Ashby)

  • Lead role (Manager)
  • Fully remote (US)
  • Model Risk & Governance
  • $210k-$240k + equity
  • Python + SQL required

You will own the model risk function end-to-end, leading a team of data scientists and governance professionals. The role balances rigorous regulatory compliance with rapid product deployment, requiring hands-on technical oversight and strategic leadership.

SentiLink protects consumers from fraud by verifying identities for major banks. You will define governance standards, manage auditor relationships, and ensure models withstand scrutiny from regulators and customers without slowing down engineering velocity.

What you'll do

  • Lead and scale a team of three or more data scientists and governance experts
  • Define strategy for automation, standardization, and industry-leading governance
  • Manage performance monitoring, drift detection, and fair lending assessments
  • Handle customer-facing calls and collaborate with bank model risk teams
  • Prepare validation reports and documentation for auditors and regulators
  • Track remediation of findings and balance strategic work with regulatory demands
  • Perform hands-on technical work to mentor the team or unblock projects

What you'll need

  • 8+ years in model risk management, validation, or quantitative risk
  • 4+ years managing and scaling model risk or governance teams
  • Deep knowledge of SR 11-7, SR 26-2, OCC guidance, and fair lending
  • Experience validating ML or statistical models in regulated environments
  • Proficiency in SQL and working knowledge of Python
  • Strong analytical skills and ability to translate technical findings
  • Bachelor's degree in Math, Statistics, CS, Engineering, or Economics
  • Must be legally authorized to work and reside in the US

Nice to have

  • Experience with fraud, identity verification, or credit risk models
  • Background supporting model governance for banks or fintechs
  • Familiarity with AWS services like S3 and SageMaker
  • Experience using GitHub for version control
  • Master's degree in a quantitative field

Stack

  • Python 3
  • PostgreSQL
  • AWS
  • EC2
  • S3
  • RDS
  • Redshift

How you'll work

  • Fully remote within the United States
  • Digital-first company with US and India collaboration
  • Regular in-person meetings for team building

What you get

  • Annual salary between $210,000 and $240,000 plus equity
  • Employer-paid group health insurance for dependents
  • 401(k) plan with employer match
  • Flexible paid time off policy
  • Home office stipend provided
  • Regular company-wide in-person events