Quant Researchers (Digital Assets)
Job Description
[Up to c. $300k Comp Package (or equivalent) | Hybrid Working]
Are you a quantitative researcher looking to apply cutting-edge techniques in systematic trading? Our client, a leading multi-strategy investment firm, is expanding its team with opportunities in alpha research and execution strategy. These roles offer the chance to work in a highly collaborative environment, leveraging advanced modelling, machine learning, and market microstructure insights to drive trading performance...
2 Opportunities Available:
Quantitative Researcher – Alpha Strategies
Focus: Systematic model development, predictive analytics, and alpha generation
- Develop and refine systematic trading models using statistical techniques and machine learning
- Identify inefficiencies in digital asset markets and translate insights into predictive signals
- Backtest and optimise trading models for robust real-world performance
- Work with engineers to deploy research into live trading environments
- Continuously enhance existing strategies through rigorous performance analysis
Quantitative Researcher – Execution & Market Microstructure
Focus: Optimising order placement, reducing slippage, and enhancing execution strategies
- Design and improve execution models to optimise order placement and scheduling across centralised crypto exchanges
- Integrate short-term alpha signals to minimise trading costs and market impact
- Develop market impact models and refine portfolio execution strategies
- Validate and enhance backtesting methodologies using internal trading data
- Collaborate with researchers to align execution strategies with overall portfolio risk management
What You Bring...
- 3+ years of experience in a quantitative research role, ideally within a hedge fund, proprietary trading firm, or similar environment
- Strong background in mathematical and statistical modelling (e.g. time-series analysis, optimisation techniques)
- Proficiency in Python, with C++ knowledge being advantageous
- Extensive experience working with large datasets and applying rigorous data analysis
- Expertise in market microstructure and execution dynamics (for execution-focused candidates)
- Degree in a quantitative field such as mathematics, physics, statistics, or computer science
- Ability to think independently, develop innovative solutions, and work collaboratively within a team
- (Desired) Knowledge of digital asset markets
...
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