Credit Risk Strategy Architect

Nubeero Limited

United States

Hybrid

USD 140,000 - 180,000

Full time

14 days+

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Job summary

Stripe is seeking a Credit Policy Lead on the Capital team to shape the future of credit policy and risk management. The role uses Stripe's extensive data assets to drive recommendations and collaborates with engineering, data science, and product teams across geographies and industries.

You will own end-to-end risk initiatives, leveraging third-party and internal data to enhance underwriting and credit decisions in a lean team environment.

Qualifications

  • Experience with Python, R, or Stata.
  • Master's degree in finance, economics, statistics, or a related field.
  • Superior communication and relationship management skills.
  • Experience with credit scoring models.
  • Experience working with machine learning teams.
  • Ability to communicate results clearly with a focus on driving impact.

Responsibilities

  • Architect and implement credit policies using Stripe data and industry data to target, price, and size capital products.
  • Provide credit risk recommendations, deliver insights, and support strategic decisions.
  • Collaborate with cross-functional teams, such as Product, Data Science, Engineering, and Capital Markets to shape new product development across geographies and industries.
  • Incorporate bureau, bank data and financial statements into credit assessment.
  • Analyze account activity and monitor portfolio trends to identify opportunities to reduce credit losses.
  • Help scale risk processes by working with partners to design and optimize outsourced workflows.

Skills

Credit risk analysis
Credit policy design
Data analysis
Statistical modeling
Cross-functional collaboration

Education

Master's degree in finance/economics/statistics or related field

Tools

Python
R
Stata

Job description

Stripe is seeking a Credit Policy Lead on the Capital team to shape the future of credit policy and risk management. The role uses Stripe's extensive data assets to drive recommendations and collaborates with engineering, data science, and product teams across geographies and industries.

You will own end-to-end risk initiatives, leveraging third-party and internal data to enhance underwriting and credit decisions in a lean team environment.

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