Python Developer - Financial Engineering & Forecasting
Expert Technology Services
Job Summary (List Format):
- Develop and enhance core features of financial accounting and forecasting applications, focusing on model accuracy, performance, and scalability.
- Refactor and modernize existing application components for improved maintainability.
- Support quarterly and yearly production runs for financial reporting by monitoring execution and ensuring data integrity, accuracy, and timeliness.
- Troubleshoot and resolve software defects, reduce technical debt, and drive continuous improvements aligned with software engineering best practices.
- Write clean, robust, production-grade Python code, supported by strong unit and integration test coverage.
- Collaborate with FP&A and other stakeholders to implement new forecasting capabilities, support scenario analysis, and meet business/regulatory requirements.
- Coordinate with team members across different technology layers (data, services, APIs, infrastructure) for end-to-end solution delivery.
- Assist with infrastructure upgrades, platform migrations, and the adoption of new technologies to improve reliability, security, and operational efficiency.
- Participate in design discussions, code reviews, and maintain thorough documentation.
- Utilize Git for source control, SQL for relational database development, Pandas for data analysis, and containerization/orchestration tools (e.g., Docker, Kubernetes).
- Apply shell scripting for automation and operational support.
- Engage in Agile development practices and use tools such as JIRA for tracking and planning.
- Leverage financial industry knowledge, particularly in fixed income and GAAP accounting (preferred).
- Demonstrate strong communication, problem-solving, and stakeholder engagement skills.
- Develop and enhance core features of financial accounting and forecasting applications, focusing on model accuracy, performance, and scalability.
- Refactor and modernize existing application components for improved maintainability.
- Support quarterly and yearly production runs for financial reporting by monitoring execution and ensuring data integrity, accuracy, and timeliness.
- Troubleshoot and resolve software defects, reduce technical debt, and drive continuous improvements aligned with software engineering best practices.
- Write clean, robust, production-grade Python code, supported by strong unit and integration test coverage.
- Collaborate with FP&A and other stakeholders to implement new forecasting capabilities, support scenario analysis, and meet business/regulatory requirements.
- Coordinate with team members across different technology layers (data, services, APIs, infrastructure) for end-to-end solution delivery.
- Assist with infrastructure upgrades, platform migrations, and the adoption of new technologies to improve reliability, security, and operational efficiency.
- Participate in design discussions, code reviews, and maintain thorough documentation.
- Utilize Git for source control, SQL for relational database development, Pandas for data analysis, and containerization/orchestration tools (e.g., Docker, Kubernetes).
- Apply shell scripting for automation and operational support.
- Engage in Agile development practices and use tools such as JIRA for tracking and planning.
- Leverage financial industry knowledge, particularly in fixed income and GAAP accounting (preferred).
- Demonstrate strong communication, problem-solving, and stakeholder engagement skills.
Vacancy posted 2 days ago
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