Python Software Engineer

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

At least 5 years’ of hands-on Python software development experience with Bachelor’s

degree or 3 years’ of hands-on Python software development experience with advanced

degree in production-grade coding (not scripting).

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.

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.