CAIA's Career Center is an easy-to-use, comprehensive resource connecting job seekers with employers in the growing AI field. Use your knowledge and credibility to advance your career or build a talented team for your organization. Opportunities targeted to CAIA Charterholders are prioritized.
In order to search for jobs specifically for CAIA Charterholders or those pursuing the CAIA Charter please enter “CAIA” in the search panel.
This will enable you to search for CAIA specific roles globally.
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 no longer focus on a specific asset class, operating in markets globally and deploying a wide range of strategies and 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. You are then tasked with converting these into live systematic trading strategies and then assessing 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.
Expected Base: £90k - £150k
Flat meritocratic structure
A collaborative culture
Excellent scope to progress within the firm
Exposure to working with various types of strategies and asset classes
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).