Quant ML Researcher for AI-Driven Trading Signals

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

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.