Confidential search
Machine Learning Quant Researcher
- Location
- New York
- Specialism
- Quant Research
- Strategy
- Systematic Research
- Seniority
- Experienced Hire
Overview
Applied machine learning research across large-scale datasets, predictive modelling and systematic investment problems.
About this opportunity
A quantitative research opportunity applying modern machine learning techniques to noisy, high-dimensional datasets and investment problems.
The emphasis is on rigorous experimentation, genuine predictive value and the ability to move useful research towards production.
Client details are shared confidentially once there is a genuine fit and an introduction is appropriate.
What the role involves
- 01Develop predictive models using large and complex datasets
- 02Design rigorous experiments and validation frameworks
- 03Evaluate new data sources and features
- 04Work with research and engineering teams on productionisation
- 05Investigate model behaviour across changing market conditions
- 06Improve research methods, tooling and repeatability
Relevant experience
- 01Strong statistics, machine learning or quantitative research background
- 02Python and modern ML tooling
- 03Experience handling large or noisy datasets
- 04Rigorous experimental judgement
- 05Ability to distinguish technical novelty from useful predictive improvement
- 06Finance experience is useful but not essential where the underlying research experience transfers well.
Technology and research
- Python
- PyTorch
- Machine Learning
- Large-Scale Data
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