# Credit Risk Strategist, Risk Foundations

**Company**: Stripe
**Location**: Chicago, US-Remote, Toronto
**Work arrangement**: remote
**Experience**: senior
**Job type**: full-time
**Category**: Finance
**Industry**: Technology

**Apply**: https://job-boards.greenhouse.io/stripe/jobs/7550951
**Canonical**: https://yubhub.co/jobs/job_da400243-b70

## Description

As a Credit Risk Strategist on the Risk Foundations team at Stripe, you will play a critical role in managing the company's financial and partnership success. You will help manage a rapidly growing merchant portfolio by guiding Stripe's credit strategy and devising growth-friendly solutions that reduce overall credit risk.

Responsibilities:

* Develop scalable methods to identify, measure, and control end-to-end risks across the user lifecycle, including credit and fraud risks.
* Proactively identify risk management opportunities and outline the strategy, translating complex requirements into technical specifications.
* Work closely with Product, Engineering, and Data Science teams to shape new product offerings and develop data-driven, globally scalable systems and processes.
* Become an expert on the global ecosystem of Stripe's products, integrations, tools, and partner requirements, and how those elements interact with payment risks.
* Develop strong internal relationships across partner teams and challenge the payments industry status quo to enable innovative businesses to flourish online.

Requirements:

* 5+ years of relevant experience with financial risk modeling.
* A builder's mindset with a willingness to question assumptions and conventional wisdom.
* Analytical skills, with expertise in data analysis, modeling, and framing business decisions and tradeoffs effectively through quantitative analysis and visualization.
* Collaborative skills, with the ability to work effectively across teams and build strong working relationships.
* Decisive, yet open to learning, with the ability to make critical decisions and quickly learn and iterate from experiences.
* Experience with SQL required.
* Bachelor's degree in Economics, Statistics, Computer Science, Engineering, or other quantitative or related field.

## Skills

### Required
- financial risk modeling
- data analysis
- modeling
- SQL
- risk management

### Nice to have
- Python
- LLM agents
- risk management practices