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Python Financial Jobs in Virginia (NOW HIRING)

Sr. Financial Systems Analyst

Richmond, VA ยท On-site +1

$85K - $115K/yr

Python experience preferred. * Experience using Python for data extraction, transformation, and automation of financial reporting workflows. * Familiarity with relevant libraries such as pandas ...

Sr. Financial Systems Analyst

Richmond, VA ยท On-site +1

$85K - $115K/yr

Python experience preferred. * Experience using Python for data extraction, transformation, and automation of financial reporting workflows. * Familiarity with relevant libraries such as pandas ...

Sr. Financial Systems Analyst

Richmond, VA ยท On-site

$85K - $115K/yr

Python experience preferred. * Experience using Python for data extraction, transformation, and automation of financial reporting workflows. * Familiarity with relevant libraries such as pandas ...

Senior Financial Systems Analyst

Richmond, VA ยท Hybrid

$84K - $105K/yr

ProspectBlue is seeking a Senior Financial Systems Analyst to support and enhance enterprise ... Exposure to Python or PowerShell scripting is a plus Demonstrated ability to communicate ...

GenAI Developer

Mclean, VA

$51.50 - $71/hr

If you are a strong Python developer with hands-on experience in RAG pipelines and modern AI ... Background in financial services, mortgage, or regulated industry environments. * Experience with ...

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Showing results 1-20

Python Financial information

See Virginia salary details

$13

$58

$85

How much do python financial jobs pay per hour?

As of Jun 7, 2026, the average hourly pay for python financial in Virginia is $58.12, according to ZipRecruiter salary data. Most workers in this role earn between $47.88 and $66.01 per hour, depending on experience, location, and employer.

What are some common projects or tasks Python Financial professionals work on in a typical week?

Python Financial professionals commonly work on building and maintaining financial models, analyzing large datasets for trends or anomalies, and automating data collection and reporting processes. They often collaborate with other analysts and finance teams to develop tools that improve efficiency or support investment decisions. Additionally, they may create data visualizations, backtest trading algorithms, and present findings to stakeholders. The work is typically fast-paced and project-driven, offering opportunities to contribute directly to financial strategy and performance.

What is a Python Financial job?

A Python Financial job involves using Python programming to analyze financial data, develop trading algorithms, automate financial processes, or build risk models. Professionals in this role may work in banking, fintech, investment firms, or insurance, leveraging Python libraries like Pandas, NumPy, and Scikit-learn for data analysis and machine learning. These roles often require knowledge of financial markets, quantitative analysis, and data processing to optimize decision-making and strategy development.

What are the key skills and qualifications needed to thrive in the Python Financial position, and why are they important?

To thrive as a Python Financial professional, you need strong programming skills in Python, a background in finance or quantitative analysis, and experience with data analysis and modeling. Familiarity with libraries such as pandas, NumPy, and financial data APIs, along with knowledge of tools like Jupyter notebooks and relevant certifications (e.g., CFA or Financial Risk Manager), is important. Attention to detail, analytical thinking, and the ability to communicate complex findings clearly are valuable soft skills in this role. These competencies enable individuals to extract insights from data, automate financial processes, and support effective business decision-making.

What are the most commonly searched types of Python Financial jobs in Virginia? The most popular types of Python Financial jobs in Virginia are:
What are popular job titles related to Python Financial jobs in Virginia? For Python Financial jobs in Virginia, the most frequently searched job titles are:
Infographic showing various Python Financial job openings in Virginia as of May 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $120,887 per year, or $58.1 per hour.
Financial Analysis and Reporting, Senior (SQL/Python/Power BI)

Financial Analysis and Reporting, Senior (SQL/Python/Power BI)

Freddie Mac

Mclean, VA โ€ข On-site

$108K - $152K/yr

Full-time

Posted 14 days ago


Job description

At Freddie Mac, our mission of Making Home Possible is what motivates us, and it's at the core of everything we do. Since our charter in 1970, we have made home possible for more than 90 million families across the country. Continue your career journey where your work contributes to a greater purpose.

Position Overview:

In this role, you will play an integral part supporting the reporting development across I&CM CFO department. As a member of the Financial Reporting and Governance team, you will be responsible for the execution of report code writing for multiple teams that support Investment Capital Markets as we communicate across divisions. As a member of the ICM CFO Segment Controller, we are charged with the constant upkeep of automation and tracking all future changes. You will also be tasked with the reporting enhancement, collaborating across departments to communicate changes, and project management assistance.

Our Impact:

The I&CM CFO department is responsible for financial accounting and reporting, portfolio risk and profitability analysis, pricing and valuation activities, and financial planning & analysis for Freddie Mac's Capital Markets segment. The candidate will perform critical review of changes supporting the financial models and systems creating the financial results.

Your Impact:
  • Work with Internal teams to identify new business requirements and enhancements need in support analytical applications used to assess within the Investments and Capital Markets division, understood and implemented correctly.

  • Develop automated, code-based, frameworks to consume large Market Risk Datasets and incorporate them into existing tools to augment our analytical capabilities

  • Manage multiple, often shifting, priorities with minimal direction all while meeting the appropriate deadlines

  • Design and drive the implementation of new tools across the team

  • Help identify the appropriate testing and change management protocols needed mitigate risk of constant changes requirements and priorities

  • Contribute throughout the Analytical lifecycle - from inception of new ideas, to coding, testing, and all the way to Dashboard Development, or synthesizing findings in standard reporting forums for senior management

  • Identify and manage gaps in existing data/processes and recommend solutions.

  • Ensure business process flows and requirements are in alignment with upstream/downstream data sources

  • Prepare presentations delivered to senior management and the Board of Directors

  • See opportunities for enhancing and improving our process and data infrastructure

Qualifications:
  • Typically has 5 - 7 years of related experience (BI and Analytics)

  • Strong written and verbal communication skills

  • Strong knowledge of SQL, Alteryx, and Relational Database Concepts (Python, Shell Scripting, Dimensional Modeling are preferred)

  • Strong hands on experience on MS SQL and Oracle database.

  • Experience working with Business Intelligence Tools (Tableau, MicroStrategy, Power BI)

  • Mortgage Industry or Financial Services experience preferred

  • Demonstrated experience as a person who is highly detailed-oriented, with excellent verbal, written, and interpersonal skills

  • Strong independent problem-solving capabilities

  • Demonstrated proficiency in MS Excel, PowerPoint, and MS Word

Keys to Success in this Role:
  • Intellectual agility and interpersonal flexibility

  • Willingness to learn new concepts and tools

  • Ability to work across silos and with minimal instruction

  • Deep curiosity to learn about new trends and topics

  • Detail focused, detail, highly organized

  • Ability to self-teach new technical skills on need-to-know basis

  • Deep curiosity to learn about new trends and topics

  • Detail focused, detail, highly organized

  • Ability to self-teach new technical skills on need-to-know basis

We consider all applicants for all positions without regard to gender, race, color, religion, national origin, age, marital status, veteran status, sexual orientation, gender identity/expression, physical and mental disability, pregnancy, ethnicity, genetic information or any other protected categories under applicable federal, state or local laws. We will ensure that individuals are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

Freddie Mac offers a comprehensive total rewards package to include competitive compensation and market-leading benefit programs. Information on these benefit programs is available on our Careers site.

This position has an annualized market-based salary range of $108,000 - $152,000 and is eligible to participate in the annual incentive program. The final salary offered will generally fall within this range and is dependent on various factors including but not limited to the responsibilities of the position, experience, skill set, internal pay equity and other relevant qualifications of the applicant.Employment Type: FULL_TIME

Freddie Mac logo

About Freddie Mac

Sourced by ZipRecruiter

Today, Freddie Mac makes home possible for one in four home borrowers and is one of the largest sources of financing for multifamily housing. Join our smart, creative and dedicated team and you'll do important work for the housing finance system and make a difference in the lives of others.

Industry

Finance and insurance

Company size

5,001 - 10,000 Employees

Headquarters location

McLean, VA, US

Year founded

1970