Quantitative Researcher with Machine Learning experience, Systematic Equities

Millennium Management; London; On-site; GBP 70,000 - 130,000; Full time

Job summary

A top-tier global hedge fund seeks a Quantitative Researcher with machine learning experience to join its systematic equities team in London. This role includes developing predictive models, engaging in alpha research, and enhancing existing software tools. Ideal candidates will have a strong quantitative background and 2+ years in equity strategies, offering a dynamic environment for career growth.

Qualifications

• 2+ years of experience in machine learning based quantitative equity alpha research.
• Experience with cash equities strategies.
• Experience in backtesting equity strategies.

Responsibilities

• Conduct alpha research focusing on idea generation and model implementation.
• Develop sophisticated Python-based software tools for machine learning.
• Collaborate transparently with team members throughout the investment process.

Skills

Strong programming skills in Python

Communication skills

Analytical skills

Quantitative skills

Education

Masters or PhD in Computer Science, Applied Mathematics, Statistics

Job description

Quantitative Researcher with Machine Learning experience, Systematic Equities

Quantitative Researcher with Machine Learning experience, Systematic Equities

Millennium is a top tier global hedge fund with a strong commitment to leveraging market innovations in technology and data to deliver high-quality returns.

Job Description

Quantitative Researcher, with machine learning experience, as part of a collaborative team based in London on systematic equity trading.

This collaborative, and entrepreneurial systematic investment team is seeking a strong equities quantitative researcher to join in developing new signals and strategies. This opportunity provides a dynamic and fast-paced environment with excellent opportunities for career growth.

Location

London

Principal Responsibilities

• Working alongside the SPM on alpha research, with a primary focus on: idea generation, data gathering and research/analysis, model implementation and backtesting for systematic equity strategies
• Combine rigorous scientific methods and machine learning or statistical learning techniques to explore, analyze, and harness a large variety of datasets in order to build strong predictive models which will be deployed to the investment process
• Develop and improve sophisticated python-based software tools and libraries for machine learning researches
• Write and maintain neat, modular code on a jointly owned codebase of significant size and complexity
• Collaborate with the SPM in a transparent environment, engaging with the whole investment process

Preferred Technical Skills

• Strong research and programming skills in Python and experience working on sophisticated Python-based software tools and libraries in a fast changing environment
• Masters or PhD degree in a quantitative subject such as Computer Science, Applied Mathematics, Statistics, or related fields from a top ranked university
• Demonstrate excellent communication, analytical and quantitative skills

Preferred Experience

• 2+ years of experience with cash equities strategies doing alpha research
• 2+ years of experience in machine learning based quantitative equity alpha research, and back testing

Highly Valued Relevant Experience

• Demonstrated ability to understand fundamental and event related data and experience with alternative data sources
• Strong economic intuition and critical thinking
• Product experience in statistical arbitrage strategies
• Product experience with machine learning based alphas would be valued

Target Start Date

As soon as possible