Quantitative Researcher

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.

Benefits

• Salary: $300k – £350k

• Medical and Life insurance.

• Eligible for a performance-related bonus.

• Retirement and tax-efficient savings plans.

• Additional healthcare and employee benefits.