Quantitative Researcher

New York

Machine Learning

Permanent

Our client, leading financial services organization, is hiring a Quantitative Researcher to join their team in New York. The successful candidate will use advanced statistical analysis, mathematical modelling and large-scale optimization techniques to uncover investment opportunities and contribute to the development of sophisticated multi-asset portfolios.

Responsibilities

Carry out quantitative research to solve practical investment challenges.
Analyze large, complex datasets to uncover trends, signals and market opportunities.
Build predictive models using time-series and cross-sectional analysis.
Develop models for portfolio construction and large-scale optimization.
Create advanced algorithms to support investment decisions and manage risk.
Examine the factors that influence market prices and financial risk.
Work with researchers, engineers and traders to turn research into scalable production solutions.
Review existing methods and identify ways to improve performance and results.

Skillset

An advanced degree in Physics, Computer Science, Mathematics, Statistics, Engineering or a related quantitative subject.
A proven track record of delivering original, high-impact research.
Strong mathematical, statistical and analytical modelling skills.
Experience with time-series analysis, cross-sectional analysis or similar quantitative techniques.
Proficiency in programming, ideally using Python or C++.
A strong interest in financial markets and the factors affecting prices and risk.
A desire to keep learning and the confidence to question existing methods.
The ability to turn complex research into practical solutions that can operate at scale.