Quantitative Research / Developer - Intern
Schonfeld Strategic Advisors - Hong Kong, Hong Kong
Posted Aug 22, 2025
Benefits
- Parental leave
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- Non-birth-parent leave
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- Family-building benefits
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- Fertility benefits: Not verified
- Adoption assistance: Not verified
- Surrogacy assistance: Not verified
- Mental health support
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- Relocation assistance
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- Childcare support
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- Learning budget
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- Verification
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- Salary
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- 401(k) match
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Schedule
- Shift type
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- Weekend work
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Application
- Cover letter
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- Assessment
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- Deadline
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Where they hire
State eligibility is not yet verified.
About this role
Quantitative Research / Developer - Intern Hong Kong, Hong Kong The Role We are looking for a hands-on STRAT / forward-deployed engineer to embed with our multi strategy business. The candidate will sit on the trading floor, shipping full-stack tools that power research, risk, and execution across strategies such as index rebalance, delta-1 and long/short equities. The role will be based in our Hong Kong office. What you'll do - Automate PM/analyst processes- alpha signals, portfolio construction, real-time risk, P&L, scenario and stress analytics. - Help build out our proprietary research, portfolio construction and risk management platform. - Build end-to-end products: data ingestion, micro-service back-ends, and lightweight front-ends for visualization and workflow. - Own SDLC: requirements gathering, architecture, coding, testing, deployment, and ongoing support in a fast-moving trading environment. - Balance long-horizon platform projects with fast tactical asks; break down roadblocks and deliver incremental value quickly. - Use our proprietary AI setup to create differentiated analytics; help extend the AI platform. - Maintain strong stakeholder communications across technology, trading, quant research and risk. - The minimum internship period is 6 months, and the role may be converted to a full-time position based on strong performance. What you'll bring What you'll need: - 2-3 years buy- or sell-side experience as a STRAT, quant dev, or forward-deployed engineer. - Solid grasp of trade-lifecycle and investment management workflows; exposure to equities preferred. - Proven coding expertise; comfortable across the stack (data wrangling, REST/GraphQL APIs, Python, simple JS/React or Dash front-ends). - STEM Master
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