Description

The developer will be involved in developing and enhancing core features of forecasting engines, improving model accuracy and performance, and providing support for critical quarterly and yearly production runs used in financial reporting.

Responsibilities

• Refactor and modernize existing components of financial accounting and forecasting applications 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 and yearly 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 Financial Planning & Analysis 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

• Required
  • 3 years of hands-on Python software development experience with a 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 field.
  • 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.
  • Understanding of fixed income concepts, including duration, convexity, spread, and option-adjusted spread (OAS).
  • Strong oral and written communication skills.
  • Strong critical thinking, problem-solving skills, business acumen, and familiarity with Agile development processes.
• Preferred
  • Graduate degree in a quantitative discipline (e.g., Computer Science, Mathematics, Statistics, or related field).
  • Strong understanding of GAAP accounting fundamentals, including revenue and expense recognition and amortization.
  • CFA, FRM, or significant progress toward CFA, FRM, or CPA certification.
  • 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

Key Skills

Education

Any Graduate