Responsibilities
- Alpha Research & Strategy Design : Partner with the research team to uncover trading opportunities, leveraging expertise in statistical arbitrage and quantitative research. Build, refine, and implement intraday and systematic trading strategies for global markets.
- Advanced Data Analysis : Analyze large-scale market data and time-series datasets, utilizing cutting-edge statistical methods to uncover actionable patterns and insights.
- Model Development & Validation : Develop, test, and continuously enhance predictive models and systematic strategies through rigorous back-testing, ensuring their robustness across diverse asset classes (, equities, currencies,modities, and fixed ie).
- Collaboration Across Teams : Coordinate closely with technology teams to integrate quantitative models with advanced trading infrastructure.
- Risk Assessment & Strategy Optimization : Apply in-depth knowledge of risk management principles to ensure that trading strategies operate within predefined risk parameters.
Key Qualifications
Educational Background : Master’s or in Applied Mathematics, Statistics,puter Science, Physics, or a related quantitative field.Professional Expertise : Demonstrated experience with statistical arbitrage strategies, high-frequency trading, or market-making. 5+ years of experience in quantitative finance, systematic trading, or proprietary trading environments. Proven ability to generate alpha through rigorous financial modeling, statistical analysis, and innovative research methods.Technical Proficiency :Strong expertise in Python (particularly for data analysis) and proficiency in C++.Familiarity with machine learning techniques and frameworks.Advanced skills in analyzingplex datasets, implementing models, and applying statistical methods to trading environments.Exceptional problem-solving abilities, particularly in managingplex datasets and implementing innovative solutions.A self-starter with a demonstrated ability to work independently in a fast-paced, high-pressure environment.Corepetencies :This role is open to candidates who have medium-frequency experience within statistical arbitrage. High-frequency experience is not fundamental.
If you are a quant researcher who is interested in working in a collaborative start-up environment with very good backing / peers and you want to be involved in all parts of the research / trading / coding – this is a perfect platform. Quants who are part of a larger team where they cannot get involved in all parts of the process and are just one of so many would find this ideal as a stepping stone into their career.
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