Quantitative Researcher Quantitative Researcher …

Anson McCade
in London, England, United Kingdom
Permanent, Full time
Last application, 14 Aug 20
Competitive
Anson McCade
in London, England, United Kingdom
Permanent, Full time
Last application, 14 Aug 20
Competitive
Anson McCade
My client is an exciting and experienced systematic hedge fund, previously spinning out of a highly successful prop trading team. They are looking for junior quantitative researchers to come up with signals and convert these into profitable systematic strategies.

The firm prides itself on research and collaboration, with an environment where teams of researchers and portfolio managers work very closely with each other. Having initially focused on the cash equities space, their strong performances since inception have allowed them to expand operations. They operate in markets globally, deploying a wide range of strategies with various frequencies. Their main offices are in London, New York and Singapore.

The role - Quantitative Researcher

As a quantitative researcher key responsibilities will include utilising datasets to identify trends and patterns in the markets. With this information you will be tasked with producing signals and designing strategies to backtest. Eventually you will convert these into live systematic trading strategies and then assess their performance. Outside of strategy research, you will be responsible for helping to optimise the portfolio; designing models to provide the team with performance indicators.

Benefits

  • Flat meritocratic structure
  • A collaborative culture
  • Excellent scope to progress within the firm
  • Exposure to working with various types of strategies and asset classes

Wanted

Junior quant associates/researchers with strong experience (1 - 3 years) in a front office role on a desk. Applicants with experience at a bank/sell side institution. Experience in pricing or modelling would be preferable.

Suitable applicants will preferably hold at least an MSc degree in a technical discipline (Maths, Computer Science, and Statistics).

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