Quantitative Researcher

Schonfeld; Hong Kong; On-site; HKD 938,233 - 1,250,977; Full time

Job summary

A global hedge fund is seeking a talented Quantitative Researcher to join its systematic trading team in Hong Kong. The ideal candidate will have 5+ years of alpha-research experience, advanced knowledge in machine learning, and proficiency in Python. Responsibilities include engineering predictive features, deploying ML models, and collaborating with a dynamic team on high-performance trading systems. Join a firm committed to innovation and empowering its employees with a culture of collaboration and excellence.

Qualifications

• 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.
• Proficiency in Python and experience with distributed/hybrid compute environments.

Responsibilities

• Engineer predictive features from high-frequency market data.
• Collaborate on deploying signals into production.
• Design ML-driven alphas for various asset classes.

Skills

Software development

Machine learning

Analytical skills

Communication skills

Python

C++

Education

MS or PhD in computer science, statistics, mathematics or related discipline

Job description

We are seeking a talented and motivated Quantitative Researcher to join our dynamic systematic trading team. The ideal candidate will have a strong background in software development, a passion for technology, and a keen interest in the financial industry. You will work closely with our quantitative PMs, developers, and fellow researchers to develop and maintain high-performance trading systems and tools.

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.

Required Skills & Qualifications

• 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), coupled 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.

Who We Are

Schonfeld is a global multi‑manager hedge fund that strives to deliver industry‑leading risk‑adjusted returns for our investors. We leverage both internal and external portfolio manager teams around the world, seeking to capitalize on inefficiencies and opportunities within the markets. We draw from decades of experience and a significant investment in proprietary technology, infrastructure and risk analytics to invest across four main strategies: Quant, Tactical, Fundamental Equity and Discretionary Macro & Fixed Income.

Our Culture

At Schonfeld, we’ll invest in you. Attracting and retaining top talent is at the heart of what we do, because we believe that exceptional outcomes begin with exceptional people. We foster a culture where talent is empowered to continually learn, innovate and pursue ambitious goals. We are teamwork‑oriented, collaborative and encourage ideas—at all levels—to be shared. As an organization committed to investing in our people, we provide learning and educational offerings and opportunities to make an impact. We encourage community through internal networks, external partnerships and service initiatives that promote inclusion and purpose beyond the firm’s walls.

APAC Demographic Information (Completion is voluntary)

Individuals seeking employment at Schonfeld are considered without regards to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, or sexual orientation.

At Schonfeld, we strive to cultivate a sense of belonging throughout all of our employees with Diversity, Equity and Inclusion at the forefront of this mission. As a firm we are committed to creating a hiring process which is not only fair, but also welcoming and supportive. As a part of that, we want to encourage candidates to voluntarily complete the following survey which helps us keep track of how we are doing in our efforts.

Completion of the form is entirely voluntary. Whatever your decision, it will not be considered in the hiring process or thereafter. Any information that you do provide will be recorded and maintained in a confidential file.