Quantitative Researcher – Machine Learning

Point72; Hong Kong; On-site; HKD 1,176,000 - 1,961,000; Full time

Job summary

Point72 is seeking exceptional machine learning researchers to join Internal Alpha Capture (IAC). You will apply the breadth of ML knowledge to proprietary datasets to develop novel trading signals with high impact.

Researchers will work closely with experienced team members and apply rigorous research methods to real-time data. Prior experience in finance is not required, and collaboration with a fast-growing team will be essential.

Qualifications

• Advanced degree in ML/CS or related field.
• Experience with ML over large datasets and noisy data preferred.
• Strong analytical, quantitative and communication skills.

Responsibilities

• Managing all aspects of the research process from ideation to evaluation and application.
• Identify, adapt, and extend models to develop new trading signals for higher portfolio returns.
• Stay up-to-date with AI/ML advances and advise on new models and tools.

Skills

Python

Torch

JAX

TensorFlow

Reinforcement learning

Graph neural nets

LLMs

ML libraries

Education

Master's or PhD in ML/CS

Job description

Job Responsibilities

A highly collaborative, fast-growing team at Internal Alpha Capture (IAC), Point72 is developing AI-driven equity trading signals that leverage rigorous research, state-of-the-art machine learning methods, proprietary data sources, and unparalleled computing power.

We are looking for exceptional machine learning researchers to join our efforts. Researchers will work closely with our experienced team members and apply the full breadth of their machine learning knowledge to unique, proprietary datasets, and develop novel trading signals that have high impact. Prior experience in the financial industry is not required.

Key responsibilities may include:

• Managing all aspects of the research process, including ideation, method selection, implementation, evaluation, and eventual application.
• Identifying, adapting, and extending existing models in the broad field of machine learning; conducting novel research as needed, to develop new signals that can enhance portfolio returns, or predict other variables of interests.
• Staying up to date on the advances in AI/ML and related technological innovations to provide recommendations on new models and tools and identify emerging opportunities.

Desirable Candidates

• Master's or PhD in machine learning, computer science, statistics, or related fields.
• Knowledge and experience in any of the following areas are strongly preferred: modern sequence models, graph neutral nets, reinforcement learning, LLMs.
• Prior research experience utilizing machine learning over large, possibly noisy, data sets.
• Strong analytical and quantitative skills, and a detail-oriented mindset.
• Strong proficiency in machine learning libraries such as Torch, JAX or TensorFlow.
• Competence in Python, cluster environment, and general software engineering principles (source control, testing, collaborative workflow).
• Excellent written and verbal communication skills, willing to proactively engage other team members in helping to foster a highly collaborative, team-oriented research environment.
• Commitment to the highest ethical standards.

The annual base salary range for this role is $150,000-$250,000 (USD) , which does not include discretionary bonus compensation or our comprehensive benefits package. Actual compensation offered to the successful candidate may vary from posted hiring range based upon geographic location, work experience, education, and/or skill level, among other things.