· At least 5 years of hands-on software development experience using a modern
programming language (e.g., Python, Java).
· 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.
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
deliverables
The Ideal Candidate: Needs to be adaptable to shifting financial data structures. Financial domain knowledge is a big plus, but strong programming skills are the top priority.
Technical Stack and Profile Requirements
Core Role: Full Stack Developer with heavy Python expertise.
Python Depth: They need an engineer with strong, foundational programming skills, not just a basic scriptwriter.
Data and DevOps: Must be hands-on with Git for version control and Docker containers for development/deployment.
SQL Expectation: Familiarity with standard SQL queries is required. The main focus of this role is heavily on Python proficiency.