We're partnering with a prominent global quantitative trading firm focused on market-making and systematic strategies across various asset classes. The team applies advanced quantitative methods and technology to develop effective trading solutions in dynamic markets.This is a hands-on research position suited to strong performers with experience in generating alpha through data-driven analysis and modelling.
What You'll Work On
- Perform detailed research and statistical analysis and create predictive models for trading signals.
- Work with large-scale datasets to discover and validate statistical patterns in markets.
- Develop and refine valuation approaches, construct and enhance mathematical and machine learning models.
- Implement complex algorithms into efficient, production-grade code.
- Conduct rigorous backtesting and assist with deploying models into live trading systems.
- Collaborate with traders, engineers, and fellow researchers to improve systematic strategies across multiple asset classes.
What We're Looking For
- Advanced degree (Master's or PhD preferred; strong Bachelor's considered) in Mathematics, Statistics, Physics, Computer Science, Engineering, or a related quantitative field.
- Solid expertise in probability, statistics, and quantitative techniques.
- Practical experience with machine learning and deep learning applied to financial or time-series data.
- Proven success as a quantitative researcher or analyst, preferably in buy-side quantitative trading or hedge funds (sell-side experience also relevant).
- Strong programming skills in Python (required), with familiarity in analytical tools and/or compiled languages.
- Experience handling large datasets and developing reliable models in a data-heavy research setting.
- Strong problem-solving skills, with a track record of independent research and delivering tangible results.
- Clear communication abilities to explain complex concepts effectively.
Preferred
- Background in building automated trading strategies or signals in equities, fixed income, commodities, FX, or other asset classes.
- Exposure to unconventional data sources for alpha generation.
- Experience turning mathematical models into scalable production code for trading systems.
Why Join
- Contribute to advanced quantitative trading strategies operating in global markets.
- Work in a collaborative, merit-based environment with talented researchers and engineers.
- Enjoy competitive compensation, strong benefits, and potential for professional development.
- Be part of a firm focused on innovation and ongoing improvement in quantitative finance.
Opportunities available in key financial centers (London, New York, and Asia).If you're a skilled quant with solid ML experience and a demonstrated ability to generate alpha, we'd like to connect! Apply now to learn more about this confidential opportunity.
