Python Developer - Financial Engineering & Forecasting

About the role

Fully onsite McLean, VA location.

Responsibilities

• Refactor and modernize existing components of the financial accounting and forecasting application to improve maintainability, performance, and scalability.
• Develop and enhance core forecasting engine features to improve model accuracy, runtime efficiency, and enterprise readiness.
• Support critical quarterly production runs for financial reporting by monitoring execution, troubleshooting issues, and ensuring integrity, accuracy, and timeliness of outputs.
• Diagnose and resolve defects, reduce technical debt, and drive continuous improvements to ensure alignment with software engineering best practices.
• Write clean, robust, high-quality code following best practices, supported by automated unit and integration tests with strong coverage.
• Coordinate with team members across different layers of the stack (data, services, APIs, and infrastructure) to deliver end-to-end solutions.
• Partner with FP&A and other stakeholders to implement new forecasting capabilities, enable scenario analysis, and meet evolving business and regulatory requirements.
• Assist with infrastructure upgrades, platform migrations, and adoption of new technologies to improve reliability, security, and operational efficiency.
• Contribute to design discussions, code reviews, and documentation; demonstrate a commitment to collaborative problem-solving, thoughtful design, and high-quality deliverables.

Qualifications

• 3 years' of hands-on Python software development experience with Bachelor's degree or 1-2 years' of hands-on Python software development experience with an advanced degree in Computer Science or other related quantitative fields.
• 1-2 years of experience using Git for source control in a team-based development environment.
• 1-2 years of experience with SQL and relational database development.
• 1-2 years of experience with containerization and orchestration technologies (e.g., Docker, Podman, Kubernetes).
• Proficiency with shell scripting for automation, troubleshooting, and operational support.
• 1-2 years of experience with unit testing frameworks (e.g., Pytest, JUnit) and implementing automated test coverage.
• An understanding of fixed income concepts, including duration, convexity, spread, and option-adjusted spread (OAS).
• Good oral and written communication skills.
• Strong critical thinking, problem-solving skills, business acumen, and familiarity with Agile development processes.

Preferred Skills

• Graduate degree in a quantitative discipline (e.g., Computer Science, Mathematics, Statistics, or related field).
• Strong understanding of GAAP accounting fundamentals, including revenue/expense recognition and amortization.
• CFA/FRM (or significant progress toward CFA/FRM/CPA).
• Strong oral and written communication skills, with the ability to clearly articulate technical and business concepts.
• Experience engaging with stakeholders to gather requirements, align on priorities, and drive delivery.
• Exposure to product and project management tools (e.g., JIRA) to support planning, tracking, and execution.

Pay & Schedule

• Contract: $50 - $75 per hour
• Work hours: 9am to 5pm
• Job type: Contract

Education

Bachelors degree required.