Quantitative Trader​/Researcher

Join our Quant Trading team in London to design, run, and optimise systematic crypto trading strategies.

As a quantitative trader you are in the centre of the core business and manage algorithmic crypto trading strategies and play a key role on the Quant Trading team.

We are looking for experienced people to join us in London.

The ideal candidate has:

• Direct experience in all aspects of running a systematic trading system and understand the workflow from idea generation to production implementation
• Exposure to short term quantitative strategies and has experience monitoring risk and managing operational issues within highly automated trading systems
• Keen interest in financial trading theory & financial markets
• Interest in global macro-trends and micro-trends relevant for markets covered (i.e. crypto, blockchain)
• Excellent quantitative and analytical skills
• Excellent programming skills - Python /or C++ or strong motivation to learn coding very fast

• Analyse performance of market‑making operation and issue recommendations for model adjustments and new models development
• Manage trading operations, define and track key metrics
• Debug real time operational issues within a highly complex and automated trading systems
• Back testing and production performance monitoring
• Contribute to in‑house data analysis packages and research framework development
• Development of automation tools to improve trading processes
• Statistical analysis and machine learning to generate alpha signals for trading strategies Back-test hypotheses, build predictive models, and produce systematic strategies

• Degree in a quantitative discipline such as Statistics, Computer Science, Mathematics, Engineering, Quantitative Finance
• Experience developing software systems an in object‑oriented language is a plus
• Python/R/Mat Lab, highly skilled in one of these. Expert coding skills in Python will be highly preferred
• Database applications, intermediate (SQL, KDB)

• C++, intermediate
• Minimum 2 years experience in trading, managing risk, and dealing with the operational issues associated with short‑term quantitative strategies
• Demonstrated experience of working with tick data
• Advanced knowledge in algorithms, network programming, operating systems, compilers
• Experience with running code in containerised environments is a plus, especially Docker and Kubernetes
• Experience with AWS (or other cloud software/infra)

As a quantitative trader at Portofino, you sit at the core of the business with direct impact on live trading strategies. You work close to production in a highly automated environment, with strong ownership from research to deployment and exposure to complex crypto market microstructure.