Quantitative Trader/ Researcher

Portofino; Greater London; Hybrid; GBP 110,000 - 170,000; Full time

Job summary

Portofino Technologies in London is seeking a experienced Quantitative Trader to design, run, and optimise systematic crypto trading strategies. You will be at the centre of the core business, managing algorithmic trading and contributing to strategic research on live markets.

The ideal candidate has hands-on experience across the full workflow from idea generation to production, with exposure to short-term strategies, risk monitoring, and automated systems.

Qualifications

• Degree in a quantitative discipline such as Statistics, Computer Science, Mathematics, Engineering, Quantitative Finance
• Experience developing software systems in an 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)

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

Skills

Python

C++

R

Quantitative analysis

SQL

KDB

Data analysis

Education

Bachelor's degree in a quantitative field

Tools

Docker

Kubernetes

AWS

SQL

Job description

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.