Quantitative Researcher – Machine Learning

Point72; London; On-site; GBP 111,000 - 187,000; Full time

Job summary

A prominent financial services firm in London is seeking a Quantitative Researcher specializing in Machine Learning. The role requires strong expertise in machine learning and data analysis, with responsibilities including managing research processes and developing trading signals. The ideal candidate holds a Master’s or PhD and has proficiency in Python and machine learning frameworks. The position offers a competitive salary range of $150,000-$250,000 USD.

Benefits

Comprehensive benefits package

Discretionary bonus compensation

Qualifications

• Expertise in machine learning, statistics or related fields.
• Experience with large, complex datasets.
• Strong quantitative and analytical skills.

Responsibilities

• Manage all aspects of the research process.
• Develop new trading signals for portfolio enhancements.
• Stay updated on AI/ML advancements and recommend new models.

Skills

Machine learning expertise

Analytical skills

Proficiency in Python

Experience with machine learning libraries

Education

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

Tools

Torch

JAX

TensorFlow

Job description

Social network you want to login/join with:

Quantitative Researcher – Machine Learning, London

col-narrow-left

Client:

Point72

Location:

London, United Kingdom

Job Category:

Other

-

EU work permit required:

Yes

col-narrow-right

Job Reference:

c3d9076a0506

Job Views:

6

Posted:

12.08.2025

Expiry Date:

26.09.2025

col-wide

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.
• 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.