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Part Time Python Finance Jobs (NOW HIRING)

... Type: Part-time / Contract Location: US, UK, Canada, France, Portugal (remote) We are seeking a ... This role sits at the intersection of finance, strategy, and advanced analytics, focusing on ...

... Type: Part-time / Contract Location: US, UK, Canada, France, Portugal (remote) We are seeking a ... or finance transformation initiatives * Understanding of data structures, SQL, or Python for ...

... full-time or part-time. We believe that everyone, from seasoned professionals to first-time ... Python, using Django / Flask / equivalent frameworks * Strong experience designing APIs and ...

... full-time or part-time. We believe that everyone, from seasoned professionals to first-time ... Python, Django / Flask / equivalent) * Experience building data-driven, event-based applications ...

... or finance (with extensive coursework in quantitative disciplines). * Programming experience, ideally including R, C++ and/or Python. * Experience with regression analysis. * Strong interest in ...

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How much do part time python finance jobs pay per hour?

As of May 31, 2026, the average hourly pay for part time python finance 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.
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What states have the most Part Time Python Finance jobs? States with the most job openings for Part Time Python Finance jobs include:

Financial planning & analysis (FP&A) AI Expert

Weekday AI

Remote

$100 - $120/hr

Part-time

Posted 11 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 highly analytical and forward-thinking FP&A AI Expert to join our finance team. This role blends traditional financial planning and analysis with advanced AI-driven insights, enabling data-backed strategic decision-making. The ideal candidate will bring strong financial acumen alongside hands-on experience leveraging AI tools and data models to enhance forecasting accuracy, automate reporting, and uncover actionable insights.
Requirements
Key Responsibilities:
  • Lead the budgeting, forecasting, and variance analysis processes across business units, ensuring accuracy, transparency, and alignment with organizational goals.
  • Develop dynamic financial models that incorporate AI/ML techniques to improve forecast precision and identify trends, risks, and opportunities.
  • Perform detailed variance analysis (actual vs. budget/forecast), providing clear explanations and actionable recommendations to senior leadership.
  • Design and implement long-range planning frameworks, including multi-year financial projections and strategic roadmaps.
  • Build scenario models to evaluate the financial impact of business decisions, market changes, and operational strategies.
  • Define, monitor, and refine key performance indicators (KPIs) that align with business objectives and drive performance accountability.
  • Develop AI-powered dashboards and reporting tools for real-time KPI tracking and decision support.
  • Collaborate cross-functionally with finance, operations, product, and data teams to integrate financial insights into business strategies.
  • Automate repetitive FP&A processes using AI tools, improving efficiency and reducing manual effort.
  • Translate complex financial data into clear, concise insights for stakeholders, including senior management and executives.

Required Skills & Qualifications:
  • Bachelor's degree in Finance, Accounting, Economics, Data Science, or a related field; MBA/CA/CFA is a plus.
  • 3-8 years of experience in FP&A, financial modeling, or corporate finance.
  • Strong expertise in budgeting, forecasting, and variance analysis.
  • Proven experience in long-range planning and scenario modeling.
  • Ability to define and track KPIs that drive business performance.
  • Familiarity with AI/ML applications in finance, including predictive analytics and automation tools.
  • Advanced proficiency in Excel and financial modeling; experience with tools like Python, SQL, Power BI, or Tableau is highly desirable.
  • Strong analytical thinking and problem-solving skills with attention to detail.
  • Excellent communication skills, with the ability to present insights to non-finance stakeholders.

Preferred Qualifications:
  • Experience working with AI-driven financial planning platforms or enterprise planning tools (e.g., Anaplan, Adaptive Insights).
  • Knowledge of data visualization and dashboarding best practices.
  • Exposure to automation tools and scripting for finance processes.

What Success Looks Like:
  • Improved forecasting accuracy through AI-driven models.
  • Streamlined budgeting and reporting processes with reduced manual intervention.
  • Clear visibility into business performance through well-defined KPIs and dashboards.
  • Strategic insights that directly influence business decisions and growth.