Bachelor’s degree in mathematics, statistics, economics, finance, or related field required; advanced degree preferred
5–10 years of experience in credit risk analytics, ideally in small business lending, non-prime, or high-risk environments
2+ years of leadership experience managing and developing teams
Proven success building or enhancing modern credit decisioning frameworks
Demonstrated impact driving business outcomes through analytics
Strong proficiency in SQL, Python, and Excel
Solid understanding of statistical modeling and performance evaluation techniques
Experience working with large datasets and decisioning systems
Familiarity with modern data platforms (e.g., Snowflake, Databricks) and BI tools
Strong knowledge of credit underwriting processes, policy, and segmentation strategies

Benefits

Competitive Pay - We know your worth and we pay accordingly.
Flexible PTO - Work hard, rest well. Take the time you need to recharge.
Remote - Fully remote within the U.S., working Eastern Time hours to keep everyone aligned.
Full Benefits Package - Health, dental, vision
Smart, Supportive Teammates - Collaborate with sharp minds who are kind, driven and uphold our core values: Commitment, Communication, Teamwork, Service and Integrity!

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

SQLPythonExcelstatistical modelingperformance evaluation techniquescredit decisioning frameworkscredit risk analyticsdata integrationdata analysislarge datasets

Soft Skills

leadershipteam managementanalytical thinkingbusiness impactactionable insightscommunicationproblem-solvingstrategic thinkingcollaborationportfolio optimization