Senior Full Stack Developer

The developer will be involved in developing and enhancing core features of the forecasting engines to improve model accuracy, performance, and scalability, as well as providing support for critical quarterly/yearly production runs used in financial reporting to ensure the integrity, accuracy, and timeliness of outputs. Software Developer who can contribute to the firm’s enterprise forecasting platform that supports long-term financial projections, enabling strategic planning and decision-making.

Our client, a Real Estate and Financial Services company, is looking for a Senior Full Stack Developer for their McLean, VA location.
 
Responsibilities:

• Client Investments & Capital Markets division is currently seeking a Sr. Software Developer who can contribute to the firm’s enterprise forecasting platform that supports long-term financial projections, enabling strategic planning and decision-making.
• The developer will be involved in developing and enhancing core features of the forecasting engines to improve model accuracy, performance, and scalability, as well as providing support for critical quarterly/yearly production runs used in financial reporting to ensure the integrity, accuracy, and timeliness of outputs.
• The developer will also collaborate closely with FP&A and other stakeholders to implement new forecasting capabilities, support scenario analysis, and meet evolving business and regulatory requirements.
• 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

 
Requirements:

• At least 5 years of hands-on software development experience using a modern programming language (e.g., Python, Java, OR C##). Candidate must have Git version control, SQL, and Unit testing.
• Shell scripting, financial domain with fixed income knowledge, graduate degree in Computer Science or Mathematics -similar degrees, Certs -CFA, FRM, CPA
• At least 5 years of hands-on software development experience using a modern programming language (e.g., Python, Java).
• 3+ years of experience using Git for source control in a team-based development environment.
• 3+ years of experience with SQL and relational database development.
• 3+ years of experience with containerization and orchestration technologies (e.g., Docker, Podman, Kubernetes).
• Proficiency with shell scripting for automation, troubleshooting, and operational support.
• 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.
• Graduate degree in a quantitative discipline (e.g., Computer Science, Mathematics, Statistics, or related field).
• Strong understanding of GAAP accounting fundamentals, including revenue/expense recognition and amortization.
• CFA/FRM (or significant progress toward CFA/FRM/CPA).
• Strong oral and written communication skills, with the ability to clearly articulate technical and business concepts.
• 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.

 
Why Should You Apply?

• Health Benefits
• Referral Program
• Excellent growth and advancement opportunities