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Man Group

Full Stack Developer

New York CityFrom $150kmidAdded 2 weeks ago

About this role

Man Group's Direct Lending team seeks a Software Engineer to build and maintain full-stack systems—including data pipelines, analytics platforms, and AI-powered tools—supporting private credit investment operations in New York. You'll work closely with investment professionals and collaborate with the broader UK technology team on a largely greenfield platform with significant opportunities to shape its evolution.

What you'll do

  • Develop and maintain production systems across data pipelines, analytics platforms, web applications, and AI-driven automation
  • Collaborate with investment professionals to understand workflows and translate requirements into technical solutions
  • Build web-based tools and data visualization features for complex financial datasets
  • Integrate and implement AI/LLM-powered capabilities into private credit workflows
  • Contribute to full-stack development using Python, Linux, and modern web technologies
  • Practice strong software engineering fundamentals including code review, testing, CI/CD, and agile methodologies

What they're looking for

  • Python (strong proficiency)
  • Linux and shell scripting
  • Data analysis (NumPy, SciPy, Pandas)
  • Web development and data visualization
  • AI/LLM integration and tools
  • Agile development and collaborative engineering practices
  • Continuous integration and testing
  • Full-stack systems design

Benefits

  • Opportunity to shape a greenfield technology platform with minimal legacy constraints
  • Work at the forefront of AI adoption within a major investment management firm
  • Collaborate directly with experienced investment professionals and global tech team
  • Exposure to private credit and alternative investment workflows
  • Based in New York with connection to London office
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Man Group

Man Group builds technology platforms and data systems that power investment operations, particularly in private credit and discretionary investing. The company is hiring Software Engineers and Quant Developers to develop full-stack systems, data pipelines, analytics platforms, and AI-powered tools that support investment professionals.

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Likely interview questions

  • Describe your experience building AI or LLM-powered tools—what use cases have you tackled and what challenges did you face?
  • Walk us through a time you built a data pipeline or analytics system; how did you ensure data quality and performance at scale?
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