Software Engineer

Ellington Management Group is an investment management firm focused on credit, mortgage, and fixed income markets. The Software Engineer will build and support internal tools across data engineering and workflow development, including APIs, CI/CD pipelines, dashboards, trading feeds, risk systems, and AI-assisted workflows.

What you'll do:

• Delivering projects via both individual engineering contribution and direction of internal and external staff
• Providing production support for various time-sensitive systems such as signal dashboards, portfolio management systems, external trade feeds, risk systems, operational/accounting systems and many others
• Using modern, proven architectural designs to enhance existing and build new APIs, frameworks, CI/CD pipelines and testing suites
• Performing data analysis and reconciliations to validate system functionality
• Contributing to the firm's AI buildouts—integrating LLMs and AI-assisted workflows into internal tools, research pipelines, and developer tooling

What they're looking for:

• The role requires solid understanding of engineering principles, very strong programming capabilities, strong communication skills, collaborative spirit, and an analytic orientation
• Strong problem-solving skills
• A strong sense of ownership and responsibility for one's work
• Strong command of SQL programming, database engineering principles, and query optimization
• Working knowledge of one or more of C#, JavaScript, or TypeScript (exposure to frameworks such as Angular or React is a plus
• Comfort developing front-ends
• Familiarity with AI-assisted coding tools (e.g., Claude Code, Cursor, Copilot) and a thoughtful approach to using them in production codebases
• Bachelor's or Master's degree in Computer Science or a related engineering discipline (e.g., Electrical Engineering) required
• Recent graduates and candidates with up to three years of experience are encouraged to apply, including those with relevant internships, technical projects, or open-source contributions
• Exposure to mortgage-backed securities, whole loans, structured products, portfolio management systems, or accounting systems a plus
• Working knowledge of Python (helpful but not required)

Benefits:

• A flexible approach to professional growth
• Exciting, non-linear career paths spanning portfolio management, risk, research, and technology roles