Description

You will refactor and modernize financial accounting and forecasting applications, enhancing core engine features for accuracy and scalability while supporting critical quarterly production runs.

This role is on-site.

Responsibilities

• Refactor and modernize existing components to improve maintainability, performance, and scalability of the financial forecasting application.
• Develop and enhance core forecasting engine features to improve model accuracy, runtime efficiency, and enterprise readiness.
• Support critical quarterly production runs by monitoring execution, troubleshooting issues, and ensuring integrity and timeliness of outputs.
• Diagnose defects, reduce technical debt, and drive continuous improvements aligned with software engineering best practices.
• Coordinate with cross-functional teams to deliver end-to-end solutions and partner with stakeholders to implement new forecasting capabilities.

Required Skills

• 5+ years of hands-on software development experience using Python or Java.
• 2–3 years of experience with SQL and relational database development.
• 2–3 years of experience using Git for source control in team-based environments.
• 2–3 years of experience with unit testing frameworks such as Pytest or JUnit, implementing automated test coverage.
• 1–2 years of experience with containerization and orchestration technologies including Docker, Podman, or Kubernetes.
• Proficiency in shell scripting for automation, troubleshooting, and operational support.
• Understanding of fixed income concepts including duration, convexity, spread, and option-adjusted spread (OAS).

Preferred Skills

• Graduate degree in a quantitative discipline such as Computer Science, Mathematics, or Statistics.
• Strong understanding of GAAP accounting fundamentals, including revenue/expense recognition and amortization.

Key Skills

Education

Bachelor's degree