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Financial Analyst Python Commission Jobs in Hackensack, NJ

... analyst and problem solver: comfortable in SQL and Excel, fluent in financial concepts, and excited ... Strong SQL skills and advanced Excel proficiency, working knowledge of Python (or similar) is a ...

... analyst and problem solver: comfortable in SQL and Excel, fluent in financial concepts, and excited ... Strong SQL skills and advanced Excel proficiency, working knowledge of Python (or similar) is a ...

FP&A Analyst

New York, NY · On-site

$100K - $150K/yr

FP&A Analyst Location NY New York United States Business Investment Management Function Strategy ... Python, dbt, and Git experience is a plus * Front-end development (e.g. React) to support the ...

FP&A Analyst

New York, NY · On-site

$80K - $100K/yr

... analyst to join our finance team to play a key role in driving strategic decision making across the ... If the salary indicated above is on an annual basis, it may include a target-based commission ...

Sr. Technical Analyst - FP&A

New York, NY

$93K - $116K/yr

This role sits within FP&A and operates as a bridge between Finance and technical teams. You will ... Working Python literacy (ability to write production-quality scripts and notebooks; comfort with ...

Sr. Technical Analyst - FP&A

New York, NY · On-site

$93K - $116K/yr

Working Python literacy (ability to write production-quality scripts and notebooks; comfort with ... commissions. Plus, expected benefits for this role include comprehensive healthcare (medical ...

Experience with financial modeling, data analysis, SQL, Python, VBA, or other analytical tools is a plus Kapitus Total Rewards Package Includes: * Competitive Base Salary Range of $48,400-$77,700.

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Financial Analyst Python Commission information

See Hackensack, NJ salary details

$42K

$96.1K

$128.7K

How much do financial analyst python commission jobs pay per year?

As of Jun 9, 2026, the average yearly pay for financial analyst python commission in Hackensack, NJ is $96,098.00, according to ZipRecruiter salary data. Most workers in this role earn between $76,300.00 and $120,500.00 per year, depending on experience, location, and employer.

What is the difference between Financial Analyst Python Commission vs Financial Analyst Excel Commission?

AspectFinancial Analyst Python CommissionFinancial Analyst Excel Commission
Required SkillsPython programming, data analysis, scriptingExcel, data manipulation, formulas
CertificationsPython certifications, CFA often preferredExcel certifications, CFA often preferred
Work EnvironmentData analysis, coding, automation tasksData reporting, spreadsheet analysis
Industry UsageFinance, investment firms, tech companiesBanking, corporate finance, investment firms

Both roles involve financial analysis but differ mainly in technical tools. The Python version emphasizes programming and automation, while the Excel version focuses on spreadsheet skills. Candidates should choose based on their technical strengths and job requirements.

Financial & Credit Analytics Analyst

Financial & Credit Analytics Analyst

Gynger

New York, NY • On-site

$150K - $200K/yr

Full-time

Medical, Dental, Vision, PTO

Posted 8 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.

$150,000 - $200,000 a year
The base salary range for this role is $150,000 - $2000,000, 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. 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.