Portfolio Manager/Senior Quantitative Researcher, Systematic Equities
Portfolio Manager/Senior Quantitative Researcher, Systematic Equities
Please direct all resume submissions to QuantTalentEUR@mlp.com and reference REQ-13675 in the subject.
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
Portfolio Manager/Senior Quantitative Researcher with a focus on intraday or mid-frequency equities as part of a thriving, dynamic, collaborative investment team.
Location
Open to candidates in London, Europe (ex-Paris), and the US (with a preference for the East Coast)
Principal Responsibilities
- Conduct alpha research and strategy development with a primary focus on: idea generation, data gathering and research/analysis, model implementation and back testing for systematic global equities strategies with intraday or medium-frequency holding periods
- Combine sound financial insights and 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
- Collaborate with the SPM and other team members in a transparent environment, specifically collaborating across books and engaging with the whole investment process (portfolio construction, risk management, etc.)
Preferred Technical Skillset
- Strong research and programming skills
- Bachelors, Masters or PhD degree in a quantitative subject such as Applied Mathematics, Statistics, Computer Science or related field from a top ranked university
- Fluent in C++ or Python
- Demonstrate strong abstract reasoning and independent problem-solving skills
Preferred Experience
- A minimum of 5 years of experience working in a quantitative research capacity focusing on systematic equities
- A proven, independent track record developing, deploying, and managing strategies in the global equities space with an inception-to-date Sharpe Ratio of 1.5+
Highly Valued Relevant Experience
- Experience exploring, researching, and deploying trading signals from various sources of data
- Experience in quantitative finance, econometrics, and asset pricing
- Curious, ambitious, self-starter mindset
Please direct all resume submissions to QuantTalentEUR@mlp.com.
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