Quantitative Researcher – Machine Learning

Point72; England; On-site; GBP 113,000 - 188,000; Full time

Job summary

Point72's Internal Alpha Capture (IAC) team is seeking exceptional ML researchers to develop AI-driven equity trading signals using state-of-the-art ML methods, proprietary data sources, and high-performance computing.

You will collaborate with senior researchers, apply broad ML knowledge to unique datasets, and develop novel signals with high impact. Prior financial industry experience is not required.

Qualifications

• Master’s or PhD in machine learning, computer science, statistics, or related fields.
• Strong analytical and quantitative skills demonstrated in research.
• Experience applying ML methods to large/ noisy data sets.
• Proficiency with ML libraries such as PyTorch, JAX, or TensorFlow.

Responsibilities

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

Skills

Python

Machine learning

Research

Analytical skills

Education

Master’s or PhD in ML/CS/Stats

Tools

PyTorch

JAX

TensorFlow

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.