The Company:

This client is a leading global multi-strategy investment management firm seeking top-tier Quant Researchers for theirLondon office. Utilizing a diverse portfolio of systematic and quantitative strategies across all liquid asset classes on a global scale. As a technology and data driven group they implement a scientific approach to investing and achieve high quality returns. Championing a culture of collaboration, learning and extensive creative autonomy, they operate in all major hubs around the world.

The Role:

• Your core objective is to create high quality predictive signals
• Leverage access to large diversified datasets to identify statistical patterns and opportunities
• Share and discuss research process, inputs, and results with other researchers
• Implement signals and relevant datasets within a global execution platform
• Monitor signal behavior and model performance over time
• Youwill lead the full strategy research cycle from signal generation to implementation

About You:

• Direct experience full-time inquant researcher or traderrole, any asset class
• Strong education,PhDwith a stellar academic track-record and STEM based field of study
• Strong knowledge in statistics, machine learning, NLP or AI techniques is a plus
• Programming skills inat least onemajor language (Python, R, Matlab and /or C++, C#)
• Experience in exploring large datasets across multiple time frames is a plus
• Intellectual curiosity to explore new data sets, solve complex problems, drive innovative processes and connect the dots between multiple fields
• Proven track record in delivering successful systematic strategies

Pre-application:

• Please do not apply if you are looking for a contract or remote work
• You must be eligible to live and work inLondon, without requiring sponsorship
• Please ensure you meet the required experience section prior to applying
• Allow 1-5 working days for a response to any job enquiry
• Your application is subject to our privacy policy, found here:https://www.thurnpartners.com/privacy-policy