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Financial Analyst Python Jobs in New York (NOW HIRING)

Finance & AI Analyst

New York, NY · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

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 ...

Senior Financial Risk Analyst

Manhattan, NY · On-site

$111 - $130/hr

  • Medical

  • Life

  • Retirement

  • PTO

... 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

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

Portfolio Finance Analyst

New York, NY · On-site

$150K - $180K/yr

  • Medical

  • Dental

  • Life

  • Retirement

  • PTO

Optimize margin and financial resource consumption footprint with counterparties through managing ... Familiarity with coding, Python or SQL is a plus (e.g., ability to help extract data from SQL ...

Fintech Analyst

New York, NY · 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 ...

Analyst

Manhattan, NY · On-site

$125 - $150/hr

  • Medical

  • Life

  • Retirement

Purpose of the Role Man Group's US Residential Debt team is seeking an experienced Analyst to ... lender finance is a plus * Proficiency with Python is a plus * Strong written and verbal ...

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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 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.

Finance & AI Analyst

Cognitiv

New York, NY • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 15 days ago


Job description

Are you ready to revolutionize the advertising industry?
At Cognitiv, we are not just another AdTech company-we are industry trailblazers redefining media buying with our Deep Learning Advertising Platform. Since 2015, we have harnessed the power of cutting-edge deep learning technology and data science to transform how brands connect with their customers. Our mission? To bring intelligence to advertising and deliver unparalleled precision, relevance, and impact at scale.
With our innovative platform, advertisers enjoy unprecedented flexibility-whether it is activating Dynamic Deals through their preferred DSP, leveraging our managed service DSP, or utilizing our industry-first ContextGPT product. As a part of Cognitiv, you will be at the forefront of AI-driven advertising solutions, driving change and achieving remarkable growth in a rapidly evolving industry.
Now, we're growing!
The Role
At Cognitiv, we're building the next generation of finance. As our first Finance & AI Analyst, you'll help transform Finance from a traditional reporting function into a forward-looking strategic partner powered by AI and automation.
With a next gen ERP platform, a new order management system, and an evolving data stack, you'll build the automation, reporting, and analytical capabilities that enable Finance to move faster and make smarter decisions. You'll combine financial expertise with modern data tools to automate recurring processes, develop forecasting models, and provide leaders with real-time insights that shape business strategy.
This is an ideal opportunity for someone who enjoys building systems from the ground up, is excited by AI-enabled workflows, and wants to redefine how Finance operates and strategizes inside a fast-growing technology company.
This position will be located in New York City with a hybrid work schedule of 3 days in office (Monday-Wednesday) and 2 optional remote days (Thursday-Friday).
What You'll Do
  • Automate the Finance Function: Realize the full capability of our ERP and data systems by building scalable, AI-enabled workflows and automation that power recurring finance processes, so the team spends its time on advising instead of assembly. Understand, leverage, and build the pipelines and reporting that pull from our ERP, order management, and advertising platforms to put proactive financial and operating insight in front of leadership rather than month-end hindsight. Establish an automation layer where AI-generated insights are validated through appropriate human review and financial controls before reaching executive leadership.
  • Decision Support & Reporting: Develop on-demand reporting and analytical tools that provide real-time visibility into company performance. Produce board and executive reporting packages and forward-looking analyses that support strategic decision-making, including product mix and profitability.
  • Planning & Forecasting: Lead the annual budgeting process and maintain the company's three-year financial model. Partner closely with HR on headcount planning, compensation forecasting, and workforce modeling, while conducting scenario analyses to support strategic business decisions.
  • Cash Flow & Corporate Finance: Own weekly cash positioning, liquidity planning, and cash flow forecasting to support corporate finance activities and ensure proactive cash management.
Who You Are
  • The Foundation: Bachelor's degree in Finance, Accounting, Economics, or a related field.
  • Finance First: 3 to 5 years of experience in FP&A, corporate finance, strategic finance, or another highly analytical finance function.
  • Bilingual in finance and data: Fluent in accounting and FP&A to know what a number should be, and fluent enough in data and modern tooling to build the thing that produces it. This means advanced SQL and the ability to work directly with data warehouses to build reporting yourself, plus enough Python to automate recurring workflows so reporting runs reliably and on its own. You question, then you build. You do not just use.
  • Relentlessly curious: You are not satisfied reporting that a number moved; you want to know why it moved, and you surface the metrics leadership did not know to ask for.
  • Decision-minded: You frame the question leadership should be asking, design the scenarios, tell the story, and act as the human check on the AI before its output reaches the team.
  • AI as a force multiplier: You use AI to move faster on data work, drafting and debugging queries, automating routine reporting, and generating first-pass analysis, with the judgment to know where it falls short and needs a human check.
  • Planning for What's Next: Strong understanding of budgeting, forecasting, financial planning, and financial modeling.
  • Numbers into Narratives: Exceptional analytical and problem-solving skills, with the ability to translate complex financial data into actionable business insights and recommendations.
  • Influence Through Insight: Strong written and verbal communication skills, with experience presenting to both finance and cross-functional stakeholders.
  • Builder's Mentality: A proactive, self-directed individual who enjoys creating new processes, driving automation, and thriving in environments with significant ownership and ambiguity.
Bonus Points If You Have
  • CPA or CFA designation (or working toward one).
  • Experience implementing or optimizing ERP or financial planning systems.
  • Experience at a high-growth AdTech company.

Salary: $120,000 - $145,000 Base Salary + Equity
What We Offer
Compensation is based on experience, skills, and other factors. Base salary is just one part of your total rewards at Cognitiv-you'll also receive equity and a comprehensive benefits package.
Highlights include:
  • Medical, Dental and Vision plan for US employees & Extended Health Benefits for Canadian employees
  • 12 weeks paid parental leave + 4 weeks WFH
  • Unlimited PTO + Work-From-Anywhere August
  • Career development with clear advancement paths
  • Equity for all employees
  • Hybrid work model & daily team lunch
  • Health & wellness stipend + cell phone reimbursement
  • 401(k) & RRSP with employer match
  • Parking (CA, WA, Vancouver offices) & pre-tax commuter benefits
  • Employee Assistance Program
  • Comprehensive onboarding (Cognitiv University)
  • ...and more!

What You'll Find at Cognitiv
  • Festiv - We make work fun with cross-team games, events, and creative team bonding.
  • Responsiv - You'll be close to clients and leadership, influencing real outcomes.
  • Inclusiv - Diversity and individuality are celebrated across all levels.
  • Inventiv - We reward curiosity and embrace bold ideas.
  • Transformativ - We support your growth with training, mentorship, and flexibility.
  • Collaborativ - We operate across coasts, connected by purpose and teamwork.

Cognitiv is proud to be an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive workplace for all.
Note on AI Use: Cognitiv may use AI technology to assist with certain administrative aspects of the hiring process, such as note-taking, interview documentation, and reporting. However, every resume and application is reviewed directly by our recruiting team. AI tools are used solely for operational support and do not influence candidate evaluation or hiring decisions.