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Our client is a Quantitative Hedge Fund, who applies their Discretionary Probabilistic Investing process to alternative strategies. They are looking for a Quantitative Analyst to join the Research, Development and Implementation team. The team covers a wide range of roles and responsibilities ranging from quantitative research and data management to coding, development and support of IT infrastructure for the company as a whole.

Responsibilities

Research and implement new signals into the trading model
Conduct back-testing of new and existing factors
Develop robust data infrastructure to enable investment, research, and operational processes
Develop front-office systems that integrate stock analysis, portfolio management and trade execution.
Assist in managing relationships with service providers

Requirements

Bachelor’s degree or above
0-6 years of relevant experience in quant research & development, data analytics & engineering, or software development (ideally within the investment or hedge fund industries)
Experience in Python
Experience with Docker or other containerisation tools is a plus
Familiarity with DevOps tools is a plus
Familiarity with VBA is a plus
Fluent in English