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Staff Risk Analyst

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Onsite

Staff Risk Analyst

Ladders

Staff Risk Analyst

Skills

SQL QueriesPythonData AnalysisMachine LearningRisk Management

16 days ago

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Important information


Contract type:

Permanent

Location:

United States

Work mode:

Onsite

Published on:

8 October 2026

What they need


For our client, we are seeking a Staff Risk Analyst to join the team of a leader in the Finance & Insurance space.

This role will shape credit risk policy and portfolio performance for a fast-moving fintech environment, with a strong focus on balancing growth, retention, and risk exposure. You will partner closely with Product, Machine Learning, and other cross-functional teams to turn analysis into practical policy improvements. The position also calls for building clear reporting and monitoring frameworks that strengthen decision-making across the risk function.

Location: Remote - US based candidates only, no visa sponsorship available

Compensation: $173,928 – $245,773 annually

Responsibilities

  • Own policy optimization for member credit limits, balancing retention and risk exposure
  • Design and evaluate policy experiments and A/B tests, translating results into policy changes
  • Manage forecasting and reporting infrastructure for risk and portfolio performance visibility
  • Explore data to identify opportunities for refining risk management strategies
  • Define performance metrics and create reports and dashboards for monitoring
  • Collaborate with Machine Learning and Product teams to implement analysis into policy changes
  • Monitor deployed models for performance and stability, flagging issues for retraining

Qualifications

  • 7+ years of experience in credit risk analytics or related fields, preferably in fintech
  • Expert in SQL and proficient in Python for data analysis
  • Knowledge of fintech risk fundamentals, including limit/max policy and portfolio monitoring
  • Experience with A/B testing and translating results into actionable insights
  • Familiarity with forecasting and curve-based modeling techniques
  • Strong communication skills for conveying analytical findings
  • Ability to collaborate across teams, including Machine Learning and Product

Benefits

  • Remote work flexibility with in-office requirements for local employees
  • Equity options in addition to salary
  • Comprehensive benefits package

Our client is an equal opportunity employer. We encourage you to apply even if you don’t meet every qualification—your background could be exactly what this team needs.

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