Quantitative Researcher

Benefits

Parental leave

Not verified

Non-birth-parent leave

Not verified

Family-building benefits

• Fertility benefits: Not verified
• Adoption assistance: Not verified
• Surrogacy assistance: Not verified

Mental health support

Not verified

Relocation assistance

Not verified

Childcare support

Not verified

Learning budget

Not verified

Verification

Not verified

Salary

Not verified

401(k) match

Not verified

Was this benefit information wrong? Tell us.

Schedule

Shift type

Not verified

Weekend work

Not verified

Application

Cover letter

Not verified

Assessment

Not verified

Deadline

Not stated

Where they hire

State eligibility is not yet verified.

About this role

Quantitative Researcher Hong Kong, Hong Kong The Role 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 1. Engineer predictive features from high-frequency market data and unstructured alternative datasets for machine learning (ML) models. 2. Develop research pipelines on a distributed compute cluster for tree-based models, deep learning, NLP/LLM, and related ML models. 3. Design and prototype ML-driven alphas for cash equities, futures, and other liquid asset classes. 4. Collaborate with researchers and developers to deploy signals into production, and perform iterative improvements based on real performance. 5. Track academic and industry advances in machine learning and present actionable ideas to the team. Required Skills & Qualifications 1. MS or PhD in computer science, statistics, mathematics, or a related quantitative discipline from a top-tier university. 2. Minimum 5 years of alpha-research experience at a leading buy-side firm or global bank. 3. Expertise in tree-based models, deep learning, and NLP/LLM with strong understanding of probability and overfitting-control practices. 4. Proficiency in python (and preferably C++ or similar), coupled with experience on distributed/hybrid compute environments. 5. 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

Read the full description at job-boards.greenhouse.io. FewerJobs shows a source-linked preview and links to the original posting.