Financial & Credit Analytics Analyst
About Us
Gynger is a cash flow management solution with embedded financing that gives B2B technology vendors the power to offer flexible payment terms to customers while securing up front payment.
With Gynger, finance leaders can leverage a combination of actionable insights and capital to optimize day-to-day cash flows, accelerate deal flows, mitigate risk, and execute long term strategic vision with ease.
In 2024, Gynger announced its $20 Million Series A funding by world-class investors including Gradient Ventures (Google’s AI-focused venture fund), Velvet Sea Ventures, BAG Ventures, Deciens, Vine Ventures, Upper90, Quiet Capital and m]x[v Capital.
Gynger was founded in 2021 by serial entrepreneur Mark Ghermezian, who co-founded Braze (BRZE) and served as its first CEO, pioneering a new category that led to the company’s IPO in November 2021. Based in New York, Gynger has been recognized - for the third year in a row - as one of Built In’s 2026 Best Places to Work.
We’re a team of innovators, problem-solvers, and growth enthusiasts committed to creating a dynamic and rewarding work environment. We believe that with exceptional software and access to capital, companies can propel to new heights, and we’re here to make it happen. Join us as we redefine the way companies grow and thrive in the fast-paced world of technology. Are you up for the challenge?
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.
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.
This listing is from ats_lever. View original listing ↗