Financial & Credit Analytics Analyst

Gynger

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New York City, NY hybrid Until 8/22/2026 2+ years exp H-1B sponsor history First posted June 1, 2026 Last posted June 1, 2026
Job 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.

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.

We Offer...

• The opportunity to join one of the fastest growing Fintech Series A companies in NYC.
• The ability to revolutionize the B2B SaaS market.
• A tight-knit, collaborative team who are passionate about building startups.
• Competitive salary, equity, flexible PTO, and robust benefits (medical, dental, vision etc.).
• Built-In 2024, 2025, and 2026 Best Places to Work - three years in a row!

Our Values:

Win Together - Move, grow, and win as a team.
Be Accountable - Be true to yourself, to your team and to your customers.
Stay Curious - Dig deep and always thirst for knowledge.
Listen to Understand - Uncover what is really being communicated.
Go Above & Beyond - Go the extra mile and unlock the thrill of being a pioneer.


We’re focused on building and fostering a diverse, flexible, and inclusive space that allows our team members to thrive. We’re an Equal Opportunity Employer and consider applicants without regard to race, color, national origin, gender, sexual orientation, genetics, age, marital status, veteran status, disability status or any other basis forbidden under federal, state, or local law.

Compensation (from employer):
150000–200000 USD per year

About this role

Summary

Build models, analyze data, and support credit decisions and reporting for fintech.

Job title

Financial & Credit Analytics Analyst

Experience level

2-5 years

Minimum experience

2+ years exp

Industry

fintech

Location requirements

Based in NYC, remote work not specified.

Salary

$150k–$200k

Visa sponsorship

H-1B sponsor history

Management role

No

Skills & keywords

Required skills

SQLExcelfinancial conceptscredit riskGAAP

Preferred skills

PythonBI toolsdata environments

Specializations

credit analysismodelingreportingportfolio monitoring
Locations

Structured locations inferred from the posting.

New York, NY, USA

Hybrid City
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