Man Group is seeking a Software Engineer to join the Man Direct Lending technology team in New York. The role sits within the Discretionary Technology department, with teams in London and New York, and involves building and maintaining production systems across the full stack — data pipelines, analytics platforms, web tools, and AI-powered automation — while aligning with the investment team’s workflows. The team focuses on integration and automation of deal pipelines, data flows and report generation, leveraging the best tools from Man’s technology platform. The technology stack includes Python on Linux, data libraries such as NumPy/SciPy/Pandas, web tools using React, Streamlit, FastAPI and Django, and data infrastructure like ArcticDB and traditional RDBMS. Generative AI and LLM-powered tooling are a growing priority, with the team actively adopting AI-assisted development. All code is deployed using Kubernetes and modern cluster computing frameworks. This is an engineer role within the Man Direct Lending technology team in New York, working side-by-side with investment professionals and in collaboration with the wider Discretionary tech department in the UK. You will contribute to building and maintaining production systems across the full stack — data pipelines, analytics platforms, web tools and AI-powered automation — while developing a close understanding of the investment team’s workflows and helping them embrace new technology. The anticipated salary range for this position in the United States is US$130,000 - US$150,000, plus benefits and a discretionary bonus. T

Man Group is seeking a Software Engineer to join the Man Direct Lending technology team in New York. The role sits within the Discretionary Technology department, with teams in London and New York, and involves building and maintaining production systems across the full stack — data pipelines, analytics platforms, web tools, and AI-powered automation — while aligning with the investment team’s workflows. The team focuses on integration and automation of deal pipelines, data flows and report generation, leveraging the best tools from Man’s technology platform. The technology stack includes Python on Linux, data libraries such as NumPy/SciPy/Pandas, web tools using React, Streamlit, FastAPI and Django, and data infrastructure like ArcticDB and traditional RDBMS. Generative AI and LLM-powered tooling are a growing priority, with the team actively adopting AI-assisted development. All code is deployed using Kubernetes and modern cluster computing frameworks. This is an engineer role within the Man Direct Lending technology team in New York, working side-by-side with investment professionals and in collaboration with the wider Discretionary tech department in the UK. You will contribute to building and maintaining production systems across the full stack — data pipelines, analytics platforms, web tools and AI-powered automation — while developing a close understanding of the investment team’s workflows and helping them embrace new technology. The anticipated salary range for this position in the United States is US$130,000 - US$150,000, plus benefits and a discretionary bonus. T