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
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