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Senior Research Analyst for Systematic Equity Strategies
2 months ago
Senior Quantitative Researcher in Systematic Equities
Join Millennium Management as a Senior Quantitative Researcher specializing in Systematic Equities. Our firm is dedicated to harnessing cutting-edge technology and data analytics to achieve superior investment returns.
We are in search of an experienced quantitative researcher to collaborate closely with the Senior Portfolio Manager in generating alpha through diverse data sources for systematic equity trading strategies. This position offers a dynamic work environment with significant potential for professional advancement.
Preferred Location: London or Dubai preferred
Key Responsibilities:
- Develop alpha research frameworks in partnership with the Senior Portfolio Manager
- Provide mentorship and support to junior team members
Essential Technical Skills:
- Proficient in Python (experience with KDB/Q is advantageous)
- Skilled in contemporary data science toolsets (Jupyter, pandas, numpy, sklearn)
- Bachelor's or Master's degree in Computer Science, Mathematics, Statistics, or a related STEM discipline from a prestigious university
- Solid understanding of quantitative finance, mathematical modeling, statistical analysis, regression, and probability theory
- Extensive experience in evaluating alphas using statistical techniques
Required Experience:
- 4+ years of experience in a systematic trading context focused on equities
- Proven ability to manage multiple vendor data sets and perform data cleansing
- Track record of developing uncorrelated alphas and enhancing portfolio performance
- Established alpha research pipeline with production-ready outcomes
- Preferred candidates will have a successful history of live trading
Highly Valued Attributes:
- Strong intuition regarding feature/data predictive capabilities
- Analytical thinker with a proactive, entrepreneurial approach
- Curious, self-driven, and detail-oriented individual with a desire for professional growth
- Organized and focused on improving efficiency and scaling research initiatives