Quantitative Researcher - Machine Learning

Point72; Greater London; On-site; GBP 80,000 - 100,000; Full time

Job summary

A global investment firm in London is seeking a Quantitative Researcher specialized in machine learning. The ideal candidate will work within a dynamic team to develop AI-driven trading signals using proprietary datasets. Candidates with a Master's or PhD in machine learning or a related field are preferred. The role offers a collaborative environment and the chance to make impactful contributions. Knowledge in advanced machine learning models and libraries like TensorFlow is crucial. Candidates are encouraged to apply by contacting the hiring team.

Qualifications

• Master's or PhD in machine learning, computer science, statistics, or a related field.
• Strong proficiency in machine learning libraries like Torch, JAX, or TensorFlow.
• Excellent analytical and quantitative skills with attention to detail.

Responsibilities

• Manage all aspects of the research process from ideation to application.
• Identify and adapt existing machine learning models to develop new trading signals.
• Stay updated on AI/ML advances to recommend new models and tools.

Skills

Modern sequence models

Graph neural networks

Reinforcement learning

Large dataset analysis

Python

Machine learning libraries (Torch, JAX, TensorFlow)

Education

Master’s or PhD in machine learning, computer science, statistics, or related fields

Tools

TensorFlow

Torch

JAX

Job description

Quantitative Researcher - Machine Learning

New York, London, or Hong Kong

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.

Apply for this job

To apply, please contact the hiring team for details.

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