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Remote Python Financial Jobs (NOW HIRING)

US, UK, Canada, France, Portugal (remote) We are seeking a Financial Modeling AI Expert to join our ... Experience with AI/ML tools, Python, or financial analytics platforms to enhance modeling ...

Remote Senior Data Analyst

New York, NY · Remote

$94K - $118K/yr

Remote candidates will be considered. Responsibilities: -Querying, transforming and extracting data ... Python (Pandas, Numpy, etc.) -Knowledge of financial data, reporting and accounting -Comfort ...

Senior Data Analyst - Financial Analytics

OR · On-site +1

$132K - $173K/yr

... Python, SQL and similar. Key Responsibilities: Financial Analytics Development * Partner with ... A role is remote-eligible only when it is listed as"Remote" in the job location. Skills: Corporate ...

Senior Financial Analyst, Retailer

$87K - $109K/yr

We are seeking a Senior Financial Analyst to accelerate retailer deal flow and portfolio ... SQL or Python. * MBA, CFA, or CPA. #LI-Remote Instacart provides highly market-competitive ...

Familiarity with SQL-based reporting environments or Python/VBA for automation. Physical ... We're a nimble, remote-first team with a bold mission to redefine pharmacy benefits-and we're just ...

Finance Manager - Remote About Thriveworks Thriveworks is one of the leading mental healthcare ... Python is a plus. What We're Looking For * A strategic operator who understands how financial ...

Steakhouse Finance - Senior Engineer

New York, NY · On-site +1

$114K - $157K/yr

Ability to read and interact with smart contracts using Python * Experience with financial market ... Fully remote work with a global team * Competitive compensation with bonus and equity * Work-from ...

Showing results 41-60

Remote Python Financial information

See salary details

$13

$58

$86

How much do remote python financial jobs pay per hour?

As of Aug 9, 2026, the average hourly pay for remote python financial in the United States is $58.62, according to ZipRecruiter salary data. Most workers in this role earn between $48.32 and $66.59 per hour, depending on experience, location, and employer.

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

AspectRemote Python FinancialRemote Data Analyst
Required CredentialsBachelor's in Finance, Economics, or related; Python programming skillsBachelor's in Statistics, Data Science, or related; proficiency in data analysis tools
Work EnvironmentFinancial institutions, fintech companies, or investment firmsCorporate, consulting firms, or tech companies
Industry UsageFinance, banking, investment managementBusiness, marketing, healthcare, tech
Common Search/ComparisonYesYes

Remote Python Financial professionals focus on developing financial models and algorithms using Python within finance-related industries. In contrast, Remote Data Analysts interpret data across various sectors, utilizing analytical tools to inform business decisions. While both roles require data analysis skills, Remote Python Financial emphasizes finance-specific knowledge and Python programming, making it distinct in industry focus and skill set.

More about Remote Python Financial jobs
What cities are hiring for Remote Python Financial jobs? Cities with the most Remote Python Financial job openings:
What are the most commonly searched types of Python Financial jobs? The most popular types of Python Financial jobs are:
What states have the most Remote Python Financial jobs? States with the most job openings for Remote Python Financial jobs include:
Infographic showing various Remote Python Financial job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 14% Part Time, and 2% Contract. Highlights an 90% Physical, 3% Hybrid, and 7% Remote job distribution, with an average salary of $121,932 per year, or $58.6 per hour.

$100 - $120/hr

Part-time

Re-posted 20 days ago


Job description

This role is for one of our clients
Compensation: $100-$120 per hour (20 hours per week commitment)
Job Type: Part-time / Contract
Location: US, UK, Canada, France, Portugal (remote)
We are seeking a Financial Modeling AI Expert to join our team and play a critical role in bridging advanced analytics with strategic financial decision-making. This role is ideal for professionals who combine strong financial modeling fundamentals with an understanding of AI-driven tools and data-led insights. You will work closely with finance leaders, strategy teams, and business stakeholders to build dynamic models that inform high-impact decisions.
Requirements
Key Responsibilities:
  • Develop, maintain, and enhance robust operating models that capture business drivers, revenue streams, cost structures, and capital allocation strategies.
  • Build detailed cash flow forecasts, including short-term liquidity planning and long-term financial projections, ensuring alignment with business goals.
  • Apply AI and data-driven techniques to automate, optimize, and improve the accuracy of financial models and forecasting processes.
  • Conduct sensitivity analysis and scenario planning, including downside and stress-case modeling, to evaluate financial resilience under varying market conditions.
  • Translate business and corporate strategy into clear financial implications, enabling leadership to assess profitability, risk exposure, and investment priorities.
  • Collaborate cross-functionally with product, operations, and leadership teams to gather inputs and validate model assumptions.
  • Create dashboards, reports, and visualizations that communicate complex financial insights in a clear and actionable manner.
  • Support strategic initiatives such as fundraising, M&A analysis, pricing strategies, and cost optimization efforts.

Required Skills & Qualifications:
  • Bachelor's or Master's degree in Finance, Economics, Accounting, Engineering, or a related field; CFA/CA/MBA is a plus.
  • 2-7 years of experience in financial modeling, corporate finance, investment banking, consulting, or related roles.
  • Advanced proficiency in Excel and financial modeling techniques, including three-statement models, DCF analysis, and scenario modeling.
  • Experience with AI/ML tools, Python, or financial analytics platforms to enhance modeling efficiency and insights.
  • Strong expertise in operating models and cash flow forecasting methodologies.
  • Proven ability to perform sensitivity analysis, build downside scenarios, and assess financial risk.
  • Demonstrated capability to translate strategic initiatives into measurable financial outcomes.
  • Strong analytical thinking, attention to detail, and problem-solving skills.
  • Excellent communication and stakeholder management abilities.

Preferred Qualifications:
  • Experience working with large datasets and integrating structured/unstructured data into financial models.
  • Familiarity with business intelligence tools such as Power BI, Tableau, or similar platforms.
  • Exposure to startup or high-growth environments is advantageous.

What You'll Gain:
  • Opportunity to work at the intersection of finance, strategy, and AI innovation.
  • High visibility with senior leadership and involvement in key strategic decisions.
  • A collaborative environment focused on learning, growth, and impact.