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The Sr. Capital Markets & Credit Analytics Analyst is a core contributor to GoodLeap’s capital markets performance, capital strategy, and underwriting execution. This role blends quantitative analysis, credit modeling, and financial insight to support data-driven decisions across GoodLeap’s suite of lending products. The role requires exceptional attention to detail, comfort working with complex datasets, and ability to translate analytical findings to inform capital market behavior and optimize credit and operations strategy.
Job Responsibility:
Develop, refine and optimize credit and underwriting strategies across GoodLeap’s product lines
Perform portfolio analytics to evaluate performance trends, risk patterns and segmentation outcomes
Produce data-driven dashboards, research reports and presentations for senior stakeholders and external partners
Analyze macroeconomic trends, competitive benchmarks, and capital market indicators to inform policy and capital strategy
Monitor regulatory developments and policy developments impacting consumer lending
Serve as primary point of contact for policy questions, exception review insights, and investor driven guideline questions
Partner with Treasury, Risk Management, and Business Intelligence to maintain high data integrity, audit trails and consistent documentation
Build and maintain financial and credit risk models for valuation, forecasting capital transactions and scenario simulations
Be tactical product owner for credit policy execution, including signing off on QA/UAT testing and releases
Translate credit changes into decision logic for credit engine and operational workflows
Requirements:
Minimum bachelor's (or advanced) degree
4–6 years of experience
Strong proficiency in SQL and Python
Expert in Microsoft Excel (advanced functions, modeling, automation) and PowerPoint
Foundation in consumer credit analytics—credit bureaus, scorecards, risk segmentation, loan lifecycle, and credit performance metrics
Ability to work across simultaneous projects and tight deadlines in an agile, fast-paced environment
Exceptional attention to detail, intellectual curiosity, and eagerness to learn new analytical tools and credit concepts
Knowledge of consumer finance concepts, including credit risk modeling, loan lifecycle, and performance metrics
Strong communication skills—capable of simplifying technical findings for diverse audiences (executives, investors, engineers)
Nice to have:
familiarity with Tableau is a plus
Experience with cloud or distributed computing environments (e.g. Databricks, Snowflake) is a strong plus
Understanding structured finance, capital markets, and investor reporting concepts is beneficial