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
Responsibilities
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
Requirements
Must have
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/MatLab, highly skilled in one of these. Expert coding skills in Python will be highly preferred
Database applications, intermediate (SQL, KDB)
Nice to have
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 containerized environments is a plus, especially Docker and Kubernetes
Experience with AWS (or other cloud software/infra)
Why Join Portofino Technologies
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.
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