Quantitative Trader/ Researcher

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 

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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
• Develop subject market expertise on market microstructure
• Statistical analysis and machine learning to generate alpha signals for trading strategies Back-test hypotheses, build predictive models, and produce systematic strategies

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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) 

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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)

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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.