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A hedge fund that funds many quant, equity, and macro investing teams.

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About Schonfeld

The company, in brief.

What they do

Schonfeld is a hedge fund that gives capital to many investing teams. These are its own portfolio manager (PM) teams and outside partner funds. They invest in quant, equity, tactical trading, macro, and fixed income strategies. Schonfeld started in 1988. It has more than 145 PM teams, $23.5 billion in assets, and 1,150 employees.

What they value

  • People first: Schonfeld invests in its staff at every stage of their career.
  • Learning: it hires people with a record of resilience who keep growing their knowledge.
  • Teamwork: people at all levels share ideas.
  • Merit of ideas: a culture where the best ideas rise to the top.

Where they hire

Most roles are in New York, London, and Hong Kong. Others are in Singapore, São Paulo, Miami, and Dubai. Two engineering roles are open in Hong Kong or Singapore. No role is remote. No posting mentions visa sponsorship.

Teams and roles

Of the 67 roles, 11 are 2027 internships. AI Platform Engineering is the largest team, with 7 roles. Data engineering, compliance, and the quant teams for macro, emerging markets, and Hong Kong portfolio managers have three or four each.

  • AI platform: engineers in New York, Hong Kong, and Singapore build the shared platform for AI agents. This includes MCP servers, a gateway, plugins and skills, and tools to test agents.
  • Forward deployed engineers: they work beside portfolio managers and corporate teams, and build AI agents and workflows that do real work.
  • Quant research and strategists: researchers, developers, and strategists in Hong Kong, London, and São Paulo, for FX volatility, credit, rates, and emerging markets.
  • Data and software: data platform engineers in New York and London, UI engineers, and software engineers for treasury, accounting, and trading.
  • Operations, risk, and compliance: middle office, operations risk, trade surveillance, and compliance roles, mostly in London and New York.

Most US roles give a base pay range. A forward deployed engineer in New York has a base of $200,000 to $250,000. A PhD quantitative research intern in Miami has an annual base of $175,000 to $220,000.

What they look for

Most technical roles ask for Python, and many ask for SQL. Quant strategist roles ask for five or more years in a compiled language, such as C++, C#, or Rust, as well as Python. Most quant research roles ask for a master's degree or PhD in a technical field. AI platform roles ask for five or more years, AWS, Kubernetes, and CI/CD. Some ask for experience building AI agents, RAG pipelines (search that feeds an AI model), or MCP servers.

Most other roles ask for a bachelor's degree and between three and ten years of experience in finance. Many ask for experience at a hedge fund, a multi-manager firm, or another buy-side firm.

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