Senior Python Developer, Finance Forecasting & Data Apps

Python Developer (Python, Java, C##)

McLean, VA – Hybrid

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• 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.

• At least 9 years of hands-on software development experience using a modern programming language (e.g., Python, Java).
• 2–3 years of experience using Git for source control in a team-based development environment.
• 2–3 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.
• 2–3 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.