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Python Financial Jobs in Virginia (NOW HIRING)

Our Deloitte Finance Transformation team practices to help chief financial officers, controllers ... Use Microsoft Excel and data analysis tools such as Python, Power Query, and Structured Query ...

Our Deloitte Finance Transformation team practices to help chief financial officers, controllers ... Use Microsoft Excel and data analysis tools such as Python, Power Query, and Structured Query ...

SQL, Python, Excel, and similar * Strong understanding of Fixed Income markets and/or proficiency in Financial Analytics * Experience in working with and/or supporting mission-critical applications ...

Software Engineer - Java/Python

Arlington, VA · On-site

$59.75 - $81.75/hr

Strong Python development with JAVA experience or Strong JAVA Development with python experience ... We offer a top-tier benefits package to invest in your physical, mental, and financial health and ...

New

Senior Financial Systems Analyst

Richmond, VA · 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 ...

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Python Financial information

See Virginia salary details

$13

$58

$85

How much do python financial jobs pay per hour?

As of Jul 10, 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 job categories do people searching Python Financial jobs in Virginia look for? The top searched job categories for Python Financial jobs in Virginia are:
Infographic showing various Python Financial job openings in Virginia as of July 2026, with employment types broken down into 100% Full Time. Highlights an 67% In-person, and 33% Remote job distribution, with an average salary of $120,887 per year, or $58.1 per hour.

Python Developer-Full Stack Specialist

CogniSoft Technologies

Mclean, VA • On-site

Other

Posted 16 days ago


Job description

Job Title: Python Developer-Full Stack Specialist
Location: McLean, VA
Duration: 12+ months contract
 
Job Description: Developer-Full Stack Specialist
Required Experience & Education
• 5+ years of professional software development experience.
• 1+ years of hands-on experience building and deploying agentic AI/LLM applications in
Production.
• Bachelor’s degree in computer science or related field.
Qualifications:
• Strong analytical/problem-solving skills.
• Strong Python development skills (build, test, deploy) with CI/CD and Docker on AWS.
• Experience building agentic AI solutions using LangChain/LangGraph and integrating tools via MCP (Model Context Protocol).
• Experience integrating LLM workflows with APIs and data sources (SQL; RAG/embeddings a plus).
• Clear communicator; collaborative, open-minded team player.
• Experience with AI-assisted coding tools (e.g., VS Code, Amazon Q/Kiro, Copilot or similar).
• Nice to have: Trading or Financial Industry background, Kafka/event-driven systems,
React/Angular, Advanced SQL/Vector DBs, Java.
Responsibilities:
• End-to-end software development: including analysis, design, development, automated
testing, deployment, and maintenance using industry best practices and security
standards.
• Performance optimization: analyze system performance, identify bottlenecks, and
implement solutions to enhance application efficiency and scalability.
• Collaborative solution delivery: partner with business stakeholders to gather requirements,
leverage proof-of-concepts for technical decisions, and implement solutions with cross-
functional teams.
• Production support and maintenance: support applications you build across environments,
resolve critical issues, and fulfill ad hoc requests to ensure seamless business operations.
Keys to Success:
• Adaptability: Quick learner who seamlessly adapts to new technologies and project
requirements while consistently delivering high-quality results.
• Problem-Solving: Strong analytical skills with proven ability to rapidly assess complex
situations, make sound technical decisions, and implement effective solutions under
pressure.
• Ownership & Drive: Self-motivated engineer who takes complete ownership of deliverables,
proactively identifies process improvements, and ensures successful project completion.
• Communication: Excellent interpersonal skills enabling clear, effective communication
across all stakeholders - from technical teams to leadership and external partners.
• Resilience: Excels in dynamic environments with shifting priorities, aggressive deadlines,
and 24/7 support requirements during on-call rotations.