What are the responsibilities and job description for the Quantitative Research Scientist – Systematic Investing position at Cooper Fitch?
Quantitative Research Scientist – Systematic Investing
I’m working with one of the world’s largest and most sophisticated institutional investors to hire exceptional Quantitative Researchers and Research Scientists into a growing systematic investment research platform.
Their philosophy is different.
Rather than building teams of generalist researchers expected to do everything, the platform brings together specialists across different areas of quantitative research, combining their expertise to discover, test and develop investment strategies.
We’re interested in exceptional researchers specialising in areas including:
- Alpha & Feature Research – discovering predictive signals across traditional and alternative datasets
- Machine Learning & AI – ML, NLP, deep learning and statistical learning applied to investment problems
- Systematic Strategy Research – developing and testing strategies across global markets and asset classes
- Portfolio Construction & Optimisation – translating signals into robust, investable portfolios
- Research Validation – rigorous backtesting, out-of-sample testing, robustness analysis and identifying genuine versus spurious alpha
- Alternative Data – extracting investment information from large, complex and unconventional datasets
- Advanced Quantitative Methods – statistics, econometrics, time-series analysis, mathematical modelling and numerical methods
You don't need to be a Portfolio Manager.
You don't need 10 years in a hedge fund.
And you don't need to be a generalist who does everything.
What matters is having genuine depth in your area of expertise and the ability to apply rigorous scientific research to difficult investment problems.
We're particularly interested in researchers from leading systematic hedge funds, quantitative asset managers, proprietary trading firms, investment banks and world-class academic/research environments.