Financial & Credit Analytics Analyst

Gynger is looking for a sharp, analytically minded Financial & Credit Analytics Analyst to help build the data, modeling, and reporting foundation behind our lending products. This is a high impact opportunity to shape how a fast growing fintech uses data to make smarter credit decisions, monitor portfolio performance, and scale loan operations.

You'll work at the intersection of credit risk, finance, and engineering - turning raw data into the models, dashboards, and insights that drive underwriting, servicing, and investor reporting. The ideal candidate is equal parts quantitative analyst and problem solver: comfortable in SQL and Excel, fluent in financial concepts, and excited by the prospect of helping define a new function within the company.

Based in our NYC HQ, reporting to the SVP of Finance and working closely with our Chief Credit Officer.

In this role you will...

• 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.

Process improvement: Identify gaps in tooling, data, and controls and help close them through better models, dashboards, automation, or policy.

You have...

• 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.