Credit Risk Senior Analyst
Quick Summary
As Marqeta’s Credit Risk Senior Analyst , you will lead our underwriting strategy helping us to launch successful credit programs. You will drive innovation to establish best in class credit strategies and underwriting models.
Bachelor’s degree in Mathematics, Statistics, Economics, Finance, or another quantitative field. Minimum of 3 years of professional experience in a financial institution with a focus on credit risk analysis.
As Marqeta’s Credit Risk Senior Analyst, you will lead our underwriting strategy helping us to launch successful credit programs. You will drive innovation to establish best in class credit strategies and underwriting models. You will work closely with internal stakeholders including Banking, Product, Finance, and Data while partnering and building strong relationships with external bank partners and customers.
We work Flexible First. This role can be performed remotely in the United States, only in one of our National locations, which you can review here.
- Evaluate and refine credit policies and models for both consumer and SMB credit cards to minimize losses and enhance profitability.
- Develop and implement tailored, data-driven strategies for effective management of the consumer and SMB credit card portfolios.
- Conduct risk segmentation, behavioral, loss forecasting, line management and other empirical analyses to support and refine credit models used in underwriting practices for consumer and SMB credit card portfolios.
- Build dashboards and present regular reports on key performance indicators (KPIs) and key risk indicators (KRIs) specific to consumer and SMB credit cards to senior management.
- Maintain up-to-date knowledge of regulations and compliance requirements affecting both consumer and SMB credit card products.
- Bachelor’s degree in Mathematics, Statistics, Economics, Finance, or another quantitative field.
- Minimum of 3 years of professional experience in a financial institution with a focus on credit risk analysis.
- Advanced proficiency in SQL and experience with statistical modeling, including machine learning techniques.
- Demonstrated ability to solve white space problems and develop innovative solutions.
- Exceptional attention to detail and the ability to work independently on complex projects.
- Strong communication skills, with experience in presenting and explaining complex data to senior leadership.
- Innate curiosity to dive into a problem with minimal instruction to discover what the issue might be.
- Master’s degree in a related field.
- Proficiency in Python and R for data analysis and modeling.
- Direct experience in managing consumer and SMB credit card portfolios.
- Experience with automated decision engines
- In-depth knowledge of regulatory standards specific to the credit card industry.
- Application Submission
- Recruiter video call
- Hiring manager video call
- Virtual “Onsite” consisting of 4-5, 45 min calls
- Offer!
What We Offer
~2 min readLocation & Eligibility
Listing Details
- Posted
- May 6, 2026
- First seen
- May 6, 2026
- Last seen
- May 8, 2026
Posting Health
- Days active
- 0
- Repost count
- 0
- Trust Level
- 68%
- Scored at
- May 6, 2026
Signal breakdown
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