Software Engineer

About Ellington Management Group Ellington has a 30‑year track record of delivering attractive returns to investors, capturing upside in good markets and controlling downside in difficult ones through disciplined use of data and modeling, alongside deep trading expertise. Our core competencies are in diversified credit, mortgage, and fixed‑income markets—but we are also constantly evolving, adding new capabilities that complement our existing strategies. The Ellington culture embraces complex investment opportunities and risk management challenges that require analytical depth and versatile collaboration. From the beginning, our research and technology teams have been central to the firm’s alpha generation and our ability to scale our AUM. Many members of the firm’s senior leadership started in research and technology, and we continue to invest heavily in both people and infrastructure for this core function. Working in engineering, you will make a meaningful difference to the firm’s ongoing expansion and the direction it takes for the future. At Ellington, we care deeply about working with our team members to set them up for a successful long‑term career with the firm. Our open, collegial environment not only fosters close relationships across portfolio management, risk, research, and technology roles—it also entails a flexible approach to professional growth and promotes exciting, non‑linear career paths spanning those areas. With $22bn in AUM and offices in New York, Connecticut, and London, what we’re most proud of is the exceptional quality of our 170+ employees. This Role The Software Engineer role entails responsibilities within our engineering department spanning a number of domains—from data engineering to workflow development. As an integral member of the team, you will collaborate closely with senior engineers, researchers, and other stakeholders to identify requirements and build robust internal tools. This role can be located at our New York City office or our Old Greenwich, CT office. Unfortunately, this position is NOT eligible for visa sponsorship at this time. Responsibilities Deliver projects via both individual engineering contribution and direction of internal and external staff. Provide 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. Use modern, proven architectural designs to enhance existing and build new APIs, frameworks, CI/CD pipelines and testing suites. Perform data analysis and reconciliations to validate system functionality. Contribute to the firm’s AI buildouts—integrating LLMs and AI‑assisted workflows into internal tools, research pipelines, and developer tooling. Require solid understanding of engineering principles, very strong programming capabilities, strong communication skills, collaborative spirit, and an analytic orientation. Qualifications 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 Python (helpful but not required). 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. Exposure to mortgage‑backed securities, whole loans, structured products, portfolio management systems, or accounting systems a plus. 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. For More Information For more background on Ellington, we encourage you to visit our website at #J-18808-Ljbffr