Quantitative Researcher, Systematic Equities

Millennium Management · London

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 systematic equity 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 (preferred)

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

3+ years of experience with cash equities strategies doing alpha research
3+ years of experience in equity alpha capture and flow research
3+ years of experience in equity intraday trading

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

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