Financial & Credit Analytics Analyst - Gynger

Credit analytics & modeling: Build and maintain analyses and models that support underwriting, credit approvals and re-approvals, risk segmentation, and portfolio monitoring.

Data & reporting infrastructure: Own the queries, datasets, and dashboards that power credit and finance reporting, ensuring data is accurate, timely, and trusted across the company.

KPI tracking: Monitor key credit, lending, and business KPIs and surface insights for Executives, Sales, and the Credit team.

Debt facility & investor reporting: Support reporting and compliance for our credit facilities, prepare materials for investor data rooms, and respond to diligence requests with clean, well-structured analyses.

Loan servicing analytics: Partner with operations and engineering on the data and logic behind loan modifications, collections, billing, and other servicing workflows.

2 - 5 years of experience in a quantitative, analytical, or finance role ideally in credit, lending, fintech, or investment banking.

Direct experience in the credit or lending space (origination, underwriting, servicing, or portfolio management).

Strong SQL skills and advanced Excel proficiency, working knowledge of Python (or similar) is a plus.

Solid grounding in financial and credit concepts - credit risk, cash flow, and basic GAAP accounting.

Experience with BI tools (Looker, Tableau, Metabase, etc.) and comfort working in modern data environments.

Bachelor's degree in Finance, Economics, Mathematics, Statistics, Computer Science, or a related quantitative field.

Exceptional attention to detail and a builder's mindset - curious, entrepreneurial, and comfortable operating with ambiguity in a fast-moving startup.