Quantitative Researcher

Schonfeld
Hong Kong, Singapore
Workplace: OnsiteFull timeFunction: Capital Markets, Trading & QuantExperience: 5+ yearsEducation: phdSkills: ["Communication","Analytical","Problem-solving","Teamwork","Attention to detail"]

A Quantitative Researcher on a systematic trading team, developing high-performance trading systems using ML, NLP/LLMs, and tree-based models. You’ll engineer features from high-frequency data, build research pipelines on distributed clusters, prototype ML-driven signals, deploy production signals, and stay abreast of ML advances to inform the team’s strategies.

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Schonfeld
Schonfeld
6 months ago

Quantitative Researcher

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Job Summary

A Quantitative Researcher on a systematic trading team, developing high-performance trading systems using ML, NLP/LLMs, and tree-based models. You’ll engineer features from high-frequency data, build research pipelines on distributed clusters, prototype ML-driven signals, deploy production signals, and stay abreast of ML advances to inform the team’s strategies.
Location: Hong Kong, Singapore
Workplace: Onsite
Employment Type: Full time
Job Function: Capital Markets, Trading & Quant

Key Responsibilities

  • •Engineer predictive features from high-frequency market data and unstructured alternative datasets for machine learning (ML) models.
  • •Develop research pipelines on a distributed compute cluster for tree-based models, deep learning, NLP/LLM, and related ML models.
  • •Design and prototype ML-driven alphas for cash equities, futures, and other liquid asset classes.
  • •Collaborate with researchers and developers to deploy signals into production, and perform iterative improvements based on real performance.
  • •Track academic and industry advances in machine learning and present actionable ideas to the team.

Key Requirements

  • •MS or PhD in computer science, statistics, mathematics, or a related quantitative discipline from a top-tier university.
  • •Minimum 5 years of alpha-research experience at a leading buy-side firm or global bank.
  • •Expertise in tree-based models, deep learning, and NLP/LLM with strong understanding of probability and overfitting-control practices.
  • •Proficiency in Python (and preferably C++ or similar), with experience on distributed/hybrid compute environments.
  • •Excellent analytical, verbal, and written communication skills, with a proactive, ownership-driven mindset suited to the fast-paced trading floor.
Experience:5+ yearsFinanceQuantiative researchHedge fund
Education:PhD / Doctorate in Computer Science
Skills:CommunicationAnalyticalProblem-solvingTeamworkAttention to detail
Languages:English
Tech Stack:PythonC++Distributed computingMachine learningNLPLLM

Company Brief

Schonfeld
Schonfeld is a multi‑strategy investment firm that deploys capital across systematic and discretionary strategies across equities, macro, and quantitative trading, serving institutional and private investors globally.
Industry: Hedge Funds
Company Size: Large (251 to 1,000 employees)
Growth: Established Company
Headquarters: New York, United States
Website