Responsibilities
- Modernize and optimize financial accounting and forecasting applications for scalability, performance, and maintainability.
- Enhance forecasting engine capabilities to improve accuracy, efficiency, and enterprise readiness.
- Support quarterly financial reporting production runs by monitoring execution, resolving issues, and ensuring accurate, timely outputs.
- Troubleshoot defects, reduce technical debt, and implement engineering best practices.
- Develop high-quality, testable code with strong unit and integration test coverage.
- Collaborate across data, API, service, and infrastructure teams to deliver end-to-end solutions.
- Partner with FP&A and stakeholders to deliver forecasting enhancements, scenario analysis, and regulatory requirements.
- Support infrastructure upgrades, platform migrations, and adoption of new technologies.
- Participate in design reviews, documentation, and collaborative problem-solving.
Qualifications
- 5+ years of software development experience with Python, Java, or similar languages.
- 2–3 years of experience with Git, SQL, and relational databases.
- Experience with containerization/orchestration tools such as Docker or Kubernetes.
- Proficiency in shell scripting and automation.
- Experience with automated testing frameworks (Pytest, JUnit).
- Understanding of fixed income concepts such as duration, convexity, and OAS.
- Strong communication, analytical, and problem-solving skills.
- Familiarity with Agile development practices.
Preferred Skills
- Graduate degree in Computer Science, Mathematics, Statistics, or related field.
- Knowledge of GAAP accounting principles.
- CFA, FRM, CPA, or progress toward certification.
- Experience working with stakeholders and gathering business requirements.
- Familiarity with project management tools such as JIRA.
