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Financial Analyst Python Freelance Jobs in Washington

NimbusAITech LLC

Python Developer

Mclean, VA · On-site

$51.50 - $71/hr

Python Software Developer (Financial Accounting & Forecasting Applications) Client: Freddie Mac ... You will collaborate closely with Financial Planning & Analysis (FP&A) and quantitative teams to ...

WorkNovas LLC

Python Developer

Mclean, VA · On-site

$50.75 - $70/hr

Knowledge of coding of other financial model languages preferred. Responsibilities: * Work closely ... Play a key role in analyzing and converting complex SQL queries to align with new data sources ...

Mindlance

Python Developer

Washington, DC · On-site

$57 - $78.50/hr

Use Python to perform ETL/ELT type of work in the Finance space. * Use communication skills to work with end users in analyzing their requirements. * Use analytical skills to learn our users business ...

Mindlance

Python Programmer

Washington, DC · On-site

Use Python to perform ETL/ELT type of work in the Finance space. * Use communication skills to work with end users in analyzing their requirements. * Use analytical skills to learn our users business ...

INTELLIPLACERS, LLC

Python Developer

Mclean, VA · On-site

$51.50 - $71/hr

The developer will also collaborate closely with FP&A and other stakeholders to implement new ... Python software development experience with Bachelor s degree or 8+ years of hands-on Python ...

eSolutionsFirst, LLC

Sr. Python Developer

Mclean, VA · On-site

$51.50 - $71/hr

Design, develop and support systems within the financial modeling and research area. * Design and ... analytics software applications, OR Bachelor s degree or foreign equivalent degree in Computer ...

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Financial Analyst Python Freelance information

What does a financial analyst python freelancer do?

A Financial Analyst Python Freelancer combines financial expertise with programming skills in Python to analyze data, build financial models, and automate reporting tasks. They are typically hired on a contract basis to help businesses interpret complex financial information, create custom analysis tools, and improve decision-making processes. Their work can include tasks such as data cleaning, statistical analysis, and developing algorithms for forecasting or risk assessment. Freelancers in this role often work remotely and may serve multiple clients in various industries.

What are the key skills and qualifications needed to thrive as a financial analyst python freelancer?

To excel as a Financial Analyst Python Freelance, you need strong analytical skills, a solid understanding of finance and accounting principles, and proficiency in Python programming, often supported by a relevant degree or certification. Familiarity with data analysis libraries (like Pandas and NumPy), financial modeling tools, and platforms such as Excel or Tableau is typically required. Excellent communication, problem-solving, and time management skills help freelancers effectively manage projects and convey insights to clients. These combined skills enable efficient, accurate financial analysis and deliver actionable recommendations in a competitive freelance environment.

How do financial analyst python freelancers typically collaborate with clients and teams during projects?

As a Financial Analyst Python Freelancer, collaboration often happens through virtual meetings, regular progress updates, and shared documentation platforms. You may work with finance teams, data engineers, and project managers to clarify requirements, align on deliverables, and troubleshoot data or modeling issues. Clear communication is key, as you'll often need to explain your analytical methods and Python code to non-technical stakeholders. Many freelancers also use collaborative tools like Slack, Trello, or GitHub to streamline workflow and version control.

Can I do freelancing jobs as a financial analyst?

Yes, financial analysts can work as freelancers by offering services such as financial modeling, data analysis, and reporting on freelance platforms. Success often depends on skills in Excel, financial software, and certifications like CFA or CPA, along with the ability to manage client projects independently.

Is Python good for financial analysis?

Python is widely used by financial analysts for data analysis, modeling, and automation due to its extensive libraries like pandas, NumPy, and scikit-learn. It enables efficient processing of large datasets and development of quantitative models, making it a valuable skill for freelance financial analysts. Proficiency in Python can enhance analysis accuracy and productivity in financial roles.

What freelance jobs can I do with Python as a financial analyst?

As a financial analyst with Python skills, you can undertake freelance jobs such as developing financial models, automating data analysis, creating dashboards, and building algorithms for trading or risk assessment. These roles often require proficiency in libraries like pandas, NumPy, and visualization tools, and may involve working with large datasets or integrating APIs.

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

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

What are popular job titles related to Financial Analyst Python Freelance jobs in Washington?

For Financial Analyst Python Freelance jobs in Washington, the most frequently searched job titles are:

What job categories do people searching Financial Analyst Python Freelance jobs in Washington look for?

The top searched job categories for Financial Analyst Python Freelance jobs in Washington are:

Financial Analyst Python Freelance jobs near you
Infographic showing various Financial Analyst Python Freelance job openings in Washington as of September 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Python Developer

Mclean, VA • On-site

NimbusAITech LLC
See more jobs at NimbusAITech LLCexternal

$51.50 - $71/hr

Other

Posted 5 days ago

Job description

Job Title: Python Software Developer (Financial Accounting & Forecasting Applications)

Client: Freddie Mac (Investments & Capital Markets Division)

Location: McLean, VA (Local candidates only — within a 40-minute commute)

Interview Mode: In-Person Interview Required

Employment Type: Contract

Position Overview

Client’s Investments & Capital Markets division is seeking a hands-on Python Software Developer to support its enterprise forecasting platform. In this role, you will develop and enhance core forecasting engines that drive long-term financial projections, strategic decision-making, and critical financial reporting. You will collaborate closely with Financial Planning & Analysis (FP&A) and quantitative teams to improve model accuracy, system performance, and quarterly reporting cycles.

Key Responsibilities

Engine & Application Development: Refactor, modernize, and develop core features for financial accounting and forecasting applications to improve scalability, runtime efficiency, and code maintainability.

Production Support & Run Execution: Monitor and support critical quarterly and annual production runs for financial reporting, ensuring output integrity, calculation accuracy, and timely completion.

Quality & Testing: Write clean, modular, production-grade Python code accompanied by automated unit and integration tests (Pytest) to maintain high test coverage.

Troubleshooting & Maintenance: Diagnose and resolve production defects, reduce technical debt, and ensure adherence to clean architecture and software engineering standards.

Cross-Functional Collaboration: Partner with data engineers, infrastructure teams, and FP&A business stakeholders to implement scenario analysis, requirement updates, and platform migrations.

DevOps & Architecture: Support infrastructure upgrades, containerized deployments, shell-based automation scripts, and peer code reviews.

Required Qualifications

Python Development:

3+ years of hands-on Python software development experience with a Bachelor’s degree in Computer Science or a quantitative discipline, OR

1–2 years of hands-on Python development experience with a Master’s degree in Computer Science, Quantitative Finance, or related technical field.

Databases & Version Control: 1–2 years of experience writing SQL and working with relational databases; strong proficiency with Git in collaborative Agile environments.

Containers & Scripting: 1–2 years of experience with containerization technologies (Docker, Podman, or Kubernetes) and shell scripting for task automation and system troubleshooting.

Testing: 1–2 years of hands-on experience implementing automated testing pipelines using Pytest or related unit-testing frameworks.

Domain Knowledge: Foundational understanding of fixed-income instruments and metrics, including duration, convexity, spread, and option-adjusted spread (OAS).

Communication & Delivery: Strong analytical, critical thinking, and verbal/written communication skills; familiarity with Agile/Scrum delivery.

Preferred Qualifications

Advanced degree (Master’s) in Computer Science, Mathematics, Financial Engineering, or Statistics.

Familiarity with GAAP accounting fundamentals (revenue/expense recognition, amortization schedules).

Progress toward or completion of relevant certifications (CFA, FRM, or CPA).

Experience with enterprise project tracking tools (JIRA, Confluence) and technical requirements gathering directly from business users.

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