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Financial Analyst Python Jobs in New York (NOW HIRING)

Senior Financial Risk Analyst

Manhattan, NY Β· On-site

$111K - $130K/yr

... dive analysis into financial market drivers of the business. This role suits those with a bias ... Advanced proficiency in SQL and Python * Ability to build and own process from the ground up

Finance Analyst, AI/Automation

New York, NY Β· Hybrid

$120K - $145K/yr

You'll combine financial expertise with modern data tools to automate recurring processes, develop ... Python to automate recurring workflows so reporting runs reliably and on its own. You question ...

You'll combine financial expertise with modern data tools to automate recurring processes, develop ... Python to automate recurring workflows so reporting runs reliably and on its own. You question ...

You'll combine financial expertise with modern data tools to automate recurring processes, develop ... Python to automate recurring workflows so reporting runs reliably and on its own. You question ...

Fintech Analyst

Manhattan, NY Β· On-site

$90K - $120K/yr

Develop and maintain financial models and analytical frameworks using statistical techniques such ... Python/R), ensuring data integrity, reconciliation, and alignment with accounting balancing ...

Fintech Analyst

Manhattan, NY Β· On-site

$90K - $120K/yr

Develop and maintain financial models and analytical frameworks using statistical techniques such ... Python/R), ensuring data integrity, reconciliation, and alignment with accounting balancing ...

Fintech Analyst

New York, NY Β· On-site

$90K - $120K/yr

The Analyst will collaborate with finance leadership and internal stakeholders to deliver accurate ... Python/R), ensuring data integrity, reconciliation, and alignment with accounting balancing ...

Showing results 41-60

Financial Analyst Python information

What is a financial analyst python?

A Financial Analyst Python job involves using Python to analyze financial data, build models, automate reporting, and support decision-making. Analysts leverage libraries like Pandas, NumPy, and Matplotlib to clean, visualize, and interpret financial trends. They may work on budgeting, forecasting, risk assessment, or algorithmic trading. Python helps streamline data processing, improve accuracy, and enhance financial insights.

What are the typical daily responsibilities of a financial analyst python?

A Financial Analyst Python typically spends their day gathering, cleaning, and analyzing large datasets to uncover important financial trends and support strategic decisions. The role involves building and maintaining financial models, automating repetitive reporting tasks using Python scripts, and interpreting the results for senior management. Analysts frequently collaborate with other finance team members, data scientists, and business units to align on business objectives and share actionable insights. Daily work may also include monitoring key financial metrics, preparing visualizations, and participating in meetings to communicate findings and recommendations.

What are the key skills and qualifications needed to thrive in the financial analyst python position, and why are they important?

To thrive as a Financial Analyst Python, you need strong analytical abilities, a solid grasp of finance and accounting principles, and advanced proficiency in Python programming, typically backed by a degree in finance, economics, or a related field. Experience with data analytics libraries (such as pandas, NumPy, and matplotlib), databases, and certifications like CFA or relevant data analytics credentials is highly beneficial. Attention to detail, problem-solving skills, and the ability to communicate complex insights clearly are vital soft skills in this role. These capabilities enable effective modeling, accurate forecasting, and meaningful collaboration with both technical and non-technical stakeholders to drive smart financial decisions.

What finance jobs require Python?

Financial analyst roles often require Python for data analysis, automation, and modeling tasks. Proficiency in Python, along with skills in data manipulation libraries like pandas and NumPy, is increasingly valued in finance positions such as quantitative analyst, risk analyst, and investment analyst.

What are the most commonly searched types of Financial Analyst Python jobs in New York?

The most popular types of Financial Analyst Python jobs in New York are:

What are popular job titles related to Financial Analyst Python jobs in New York?

For Financial Analyst Python jobs in New York, the most frequently searched job titles are:

What job categories do people searching Financial Analyst Python jobs in New York look for?

The top searched job categories for Financial Analyst Python jobs in New York are:

Infographic showing various Financial Analyst Python job openings in New York as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 15% Part Time, and 2% Contract. Highlights an 88% Physical, 4% Hybrid, and 8% Remote job distribution.

Senior Financial Risk Analyst

Manhattan, NY β€’ On-site

3M HEALTHCARE
10K+ employees

$111K - $130K/yr

Other

Medical, Life, Retirement, PTO

Re-posted 22 days ago


Key responsibilities

  • Monitor and report on financial risks across the firm on a daily basis, ensuring timely escalation of material exposures

  • Conduct deep‑drop quantitative analyses into liquidity risks emerging across the Robinhood ecosystem

  • Enhance and maintain liquidity risk models and forecasting frameworks to support proactive risk management


Job description

Join us in building the future of finance.

Our mission is to democratize finance for all. An estimated $124 trillion of assets will be inherited by younger generations in the next two decades. The largest transfer of wealth in human history. If you’re ready to be at the epicenter of this historic cultural and financial shift, keep reading.

About the team & role

We are looking for an intellectually curious and enthusiastic individual to help the organization prepare for continued rapid growth by having a good understanding of the impact of the financial markets and risks on Robinhood. This role is responsible for monitoring corporate liquidity risks and investments, developing financial risk models, forecasting key balance sheet items and providing deep dive analysis into financial market drivers of the business.

This role suits those with a bias towards action and impact, who believe in end to end execution and accountability. You are the perfect mix of analytical, technical, operational, and creative. You are a clear, confident communicator who loves taking a complicated problem, decomposing it, and building data driven models, then turning those models into processes and reports.

What you’ll do
  • Monitor and report on financial risks across the firm on a daily basis, ensuring timely escalation of material exposures
  • Conduct deep‑drop quantitative analyses into liquidity risks emerging across the Robinhood ecosystem
  • Enhance and maintain liquidity risk models and forecasting frameworks to support proactive risk management
  • Partner with Data Science and Engineering teams to design and deliver dashboards, automated alerts, and data pipelines that surface capital, liquidity, and counterparty credit risks for the Treasury function
  • Collaborate with Finance and Product teams to assess emerging risks associated with new products and business initiatives
What you bring
  • Bachelor's degree in mathematics, computer science, engineering or a related field.
  • 1–3 years of experience in data analytics, risk management, or a comparable analytical role
  • Strong quantitative and problem‑solving skills, with the ability to communicate complex findings clearly to non‑technical stakeholder
  • Solid grounding in financial risk methodologies including Value‑at‑Risk, stress testing, scenario analysis, and attribution modeling
  • Understanding of macroeconomics, financial markets, financial instruments, trading strategies, and investment theory
  • Advanced proficiency in SQL and Python
  • Ability to build and own process from the ground up
  • Demonstrated ability to design and own end‑to‑end processes in ambiguous, fast‑moving environments
  • Advanced graduate degree such as an MFE or in a similar technical field preferred.
  • Experience developing and deploying production‑grade financial models in Python or R
  • Familiarity with sophisticated financial instruments including derivatives, futures, leveraged products, and digital assets
  • Experience with time series modeling and regression techniques
  • Hands‑on experience with AI/ML tooling and business intelligence platforms such as Superset or Looker
  • Working knowledge of ETL pipelines and workflow orchestration tools such as Airflow
What we offer
  • Challenging, high‑impact work to grow your career
  • Performance driven compensation with multipliers for outsized impact, bonus programs, equity ownership, and 401(k) matching
  • Best in class benefits to fuel your work, including 100% paid health insurance for employees with 90% coverage for dependents
  • Lifestyle wallet - a highly flexible benefits spending account for wellness, learning, and more
  • Employer‑paid life & disability insurance, fertility benefits, and mental health benefits
  • Time off to recharge including company holidays, paid time off, sick time, parental leave, and more!
  • Exceptional office experience with catered meals, events, and comfortable workspaces

In addition to the base pay range listed below, this role is also eligible for bonus opportunities, equity, and benefits.

Base pay for the successful applicant will depend on a variety of job‑related factors, which may include education, training, experience, location, business needs, or market demands. The expected base pay range for this role is based on the location where the work will be performed and is aligned to one of 3 compensation zones. For other locations not listed, compensation can be discussed with your recruiter during the interview process.

Base Pay Range:

Zone 1 (Menlo Park, CA; New York, NY; Bellevue, WA; Washington, DC)

$111,000 - $130,000 USD

Zone 2 (Denver, CO; Westlake, TX; Chicago, IL)

$97,000 - $114,000 USD

Zone 3 (Lake Mary, FL; Clearwater, FL; Gainesville, FL)

$86,000 - $101,000 USD

Click here to learn more about our Total Rewards, which vary by region and entity.

If our mission energizes you and you’re ready to build the future of finance, we look forward to seeing your application.

Equal Employment Opportunity Information

At Robinhood, we care deeply about diverse representation in our workforce as it supports our mission to democratize finance for all. In support of this goal, we encourage applicants to voluntarily identify demographic information. This information helps us to continue building a more inclusive workplace and to ensure effective recruiting programs that are inclusive of individuals across all backgrounds.

Self‑identifying in this section is completely voluntary and if you choose not to provide any information, please select the β€œI don't wish to answer” option under that question. Whatever your decision, data that you provide in this section will not be considered in the hiring process or thereafter. Individuals seeking employment at Robinhood are considered without regard to race, color, religion, national origin, age, sex, sexual orientation, marital status, ancestry, physical or mental disability, neurodivergence, veteran status, gender identity or expression, or any other characteristic protected by law.

You are being given the opportunity to provide the following information in order to help us comply with federal and state Equal Employment Opportunity recordkeeping, reporting, and other legal requirements, and to be used in our efforts to recruit a diverse workforce. Any information that you do provide will be recorded and maintained in a confidential manner. For more information on EEOC definitions, please reference this document .

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