31 Oct
Millennium Management
London
Job description
Quantitative Researcher, Systematic Equities
Quantitative Researcher, 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.
A small, 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.
Job Description
Quantitative Researcher as part of a small, collaborative team, with a focus on systematic equity strategies.
Preferred Location
London or Dubai preferred
Principal Responsibilities
- Work alongside the Senior Portfolio Manager on processing, integration and assessing various data sources to identify uncorrelated alphas :
- Work and create data pipeline with multiple vendor data sets : assessing, cleaning, creating features
- Understand the potential prediction power from data source and identify alpha
Preferred Technical Skills
- Expert in Python (KDB / Q is a plus)
- Proficient in modern data science tools stacks (Jupyter, pandas, numpy, sklearn)
- Bachelor's or Master's degree in Computer Science, Mathematics, Statistics, or related STEM field from top ranked University
- Demonstrated knowledge of quantitative finance, mathematical modelling, statistical analysis, regression, and probability theory
- Excellent communication, problem-solving, and analytical skills, with the ability to quickly understand and apply complex concepts
Preferred Experience
- 1+ years of experience working in a systematic trading environment with a focus on equities
- 1+ years of experience working with multiple vendor data sets and, in particular, manipulating data (assessing, cleaning, creating features, etc.)
- Strong experience in evaluating alphas with statistical methods
- Experience collaborating effectively with cross functional teams, multitasking and adapting in a fast-paced environment
Highly Valued Relevant Experience
- Strong intuition about feature / data prediction power
- Extremely rigorous, critical thinker, self-motivated, detail-oriented, and able to work independently in a fast-paced environment
- Entrepreneurial mindset
- Curiosity and critical thinker
- Eagerness to learn and grow professionally
- Highly organized, eager to improve and create tools in order to increase efficiency and to scale up the research effort
▶️ Quantitative Researcher, Systematic Equities.
🖊️ Millennium Management
📍 London