Quant Researcher / Trader - Crypto Mid-Frequency Strategies
Overview
We are seeking a Quant Researcher / Trader to join a systematic crypto trading team focused on developing and managing mid-frequency strategies across digital assets. The successful candidate will be responsible for identifying alpha opportunities, building predictive models, conducting rigorous research, and contributing to the deployment and management of live trading strategies.
Key Responsibilities
- Research and develop systematic crypto trading strategies across spot, futures, perpetuals, and related digital asset markets.
- Generate alpha through quantitative analysis, machine learning techniques, and alternative datasets.
- Design, implement, and evaluate robust backtesting frameworks.
- Develop and enhance portfolio construction, risk management, and position sizing models.
- Monitor live trading performance and identify opportunities to improve returns and execution efficiency.
- Analyse market structure, liquidity, order flow, and trading costs across crypto markets.
- Collaborate with developers and infrastructure teams to deploy and scale systematic strategies.
- Evaluate new data sources and market anomalies to identify sustainable sources of edge.
Required Skills & Experience
- Strong academic background in Mathematics, Statistics, Physics, Computer Science, Engineering, or a related quantitative discipline.
- Proven experience researching and developing systematic trading strategies.
- Advanced Python programming skills.
- Strong understanding of statistics, machine learning, time-series modelling, and predictive analytics.
- Experience with portfolio construction, optimisation, and risk management.
- Knowledge of crypto market structure, exchange mechanics, and electronic execution.
- Ability to take strategies from idea generation through research, implementation, and live trading.
- Excellent analytical and problem-solving abilities.
Preferred Background
- Experience working at a hedge fund, proprietary trading firm, crypto market maker, or digital asset investment platform.
- Exposure to statistical arbitrage, market making, cross-exchange trading, momentum, mean reversion, or quantitative directional strategies.
- Experience working with high-frequency, alternative, blockchain, or exchange datasets.
- Familiarity with cloud computing, distributed research environments, and modern software development practices.
Candidate Profile
The ideal candidate will combine strong quantitative research capability with a deep interest in crypto markets. They will have a demonstrated ability to identify and exploit market inefficiencies, build scalable research processes, and contribute across the full strategy lifecycle from alpha generation to live deployment and performance optimisation.
Desired Skills and Experience
Python, statistics & ML; alpha research and signal generation; portfolio construction and risk management; market microstructure knowledge; live systematic trading experience.
Crypto Quant Researcher/Trader employer: Selby Jennings
Selby Jennings is an exceptional employer, offering a dynamic work culture that fosters collaboration and innovation in the heart of London. Employees benefit from extensive growth opportunities, competitive compensation, and a supportive environment that encourages professional development, making it an ideal place for those looking to make a meaningful impact in the finance technology sector.
