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Flexible Python Financial Jobs in New York (NOW HIRING)

... offer flexible payment terms to customers while securing up front payment. With Gynger, finance ... Strong SQL skills and advanced Excel proficiency, working knowledge of Python (or similar) is a ...

... offer flexible payment terms to customers while securing up front payment. With Gynger, finance ... Strong SQL skills and advanced Excel proficiency, working knowledge of Python (or similar) is a ...

... offer flexible payment terms to customers while securing up front payment. With Gynger, finance ... Strong SQL skills and advanced Excel proficiency, working knowledge of Python (or similar) is a ...

Preferable experience in Python, SQL, R and/or C++. The estimated salary range is $31.93 to $38.32 ... Flexible work options * Volunteer opportunities * Executive "Water Cooler Chats" * Clubs, sports ...

Senior Financial Analyst

Manhattan, NY · On-site

$103K - $135K/yr

Working knowledge of SQL and/or a data tool (Python, Alteryx, Tableau). * Comfortable working with ... Flexible Spending and Dependent Care Accounts* * Development and Growth Opportunities *Eligibility ...

MSR Senior Analyst

Iselin, NJ · On-site

$86K - $108K/yr

... Python (preferred) will ensure quality data with swift troubleshooting of issues. Your role is ... Bachelor's Degree in Business or quantitative field (Finance, Science, Engineering, or Math) * 3-5 ...

MSR Senior Analyst

Iselin, NJ · On-site

$86K - $108K/yr

... Python (preferred) will ensure quality data with swift troubleshooting of issues. Your role is ... Bachelor's Degree in Business or quantitative field (Finance, Science, Engineering, or Math) * 3-5 ...

Whether you lean toward GTM strategy, FP&A infrastructure, or broad strategic partnership, this is ... Flexible PTO * Centralized home-office equipment ordering * Health and wellness stipend * Budget ...

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Flexible Python Financial information

What is the difference between Flexible Python Financial vs Data Analyst?

AspectFlexible Python FinancialData Analyst
Required SkillsPython programming, financial modeling, data analysisExcel, SQL, data visualization, basic statistics
Work EnvironmentFinance firms, investment banks, fintech companiesCorporate, consulting, or tech companies
CertificationsFinancial certifications (CFA, FRM) helpful but not mandatoryNone specific, often data-related certifications

Flexible Python Financial roles focus on applying Python skills to financial data and modeling within finance industries, often requiring financial knowledge. Data Analysts work across various industries analyzing data using tools like Excel and SQL. While both roles involve data analysis, Flexible Python Financial positions emphasize programming and finance expertise, whereas Data Analysts focus on broader data interpretation and reporting.

What cities in New York are hiring for Flexible Python Financial jobs? Cities in New York with the most Flexible Python Financial job openings:
Financial & Credit Analytics Analyst

Financial & Credit Analytics Analyst

Gynger

New York, NY • On-site

$150K - $200K/yr

Full-time

Re-posted 12 days ago


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.

The base salary range for this role is $150,000 - $200,000, depending on experience and background, plus equity and benefits. We believe in paying people fairly and will be transparent throughout the process.
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.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.