Selby Jennings
Crypto Quant Researcher/Trader
How your CV stacks up
Upload your CV to see how well it fits this job role
?%
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.
Reasons to use Rodeo
Start with a chat, not a search bar
Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
It searches the market for you
Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
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.
Get help with your application
Your very own career expert that helps elevate your application to the next level.
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.
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
Jessica, London
Skills
Location