Hiring.Camp

Financial & Credit Analytics Analyst

Gynger

·

Jun 1, 2026

Salary
$150k – $200k/yr
Location
New York City, NY
Workplace
Hybrid
Type
Full-time
Department
Finance
Experience
2+ years
Education
Bachelor
Source
Lever

Description

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?

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.

Skills

PythonSQLExcelTableauLookerGAAPUnderwritingCompliance

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