Senior Software Engineer (Investment Tools)

Senior Software Engineer (Investment Tools)

This role is with a DeWinter Investment Management Partner

Boston, MA - Hybrid Role - We are targeting local candidates that can be in the Boston office 3 days per week.

12 Month + contract (or contract to hire, if desired)

Position Summary

We’re seeking a senior, full-stack engineer using React and Python for our portfolio management and tools team, These tools are used for company wide investing strategies. Prior domain experience is not required.

What You’ll Do:

• Build, test, and enhance tools that attribute drivers of portfolio positions, returns, and risk to alpha, risk, transaction, and liquidity models.
• Develop full-stack applications using Python, TypeScript, and React, ensuring speed, reliability, and maintainability.
• Design and implement backend systems using Python, Ray, and databases for scalable, high-performance data processing.
• Implement cloud-ready, modular, and extensible solutions that are easy to maintain and update as investment needs evolve.
• Work with data structures and APIs to ensure fast and efficient access to portfolio insights.
• Optimize and unify reporting across multiple geographies, strategies, and use cases, including exception-based management reports.
• Collaborate with portfolio managers, quants, and engineers to align tools with investment workflows.
• Participate in and facilitate research efforts to improve the investment process informed by feedback from the attribution systems you build.

We’re Looking for Teammates With:

• Bachelor's degree in a relevant field.
• 4-6 years of full-stack development experience including work on production systems.
• Strong front-end development skills using TypeScript, HTML/CSS, and React, including component design, state management, and performance optimization for data-heavy views.
• Hands-on experience with Material UI (MUI) and MUI X for building user interfaces and data visualizations is a plus.
• Strong backend engineering skills using Python, Ray, FastAPI, and Pandas/Polars, including API design, distributed parallel computing, and experience with both relational and non-relational databases.
• Experience optimizing software systems for performance, scalability, and cloud deployment.
• Ability to work as an effective team player and self-starter, willing to roll up their sleeves to help accomplish team goals.
• Ability to work well in a fast-paced, rapidly changing environment.
• Some investment domain knowledge, particularly in portfolio decomposition, attribution, risk analysis, or quantitative equity strategies, is a plus.