EXECUTION QUANT

at  Kepler Cheuvreux

REQUIRED SKILLS:

• Scientific degree (Ph.D) in a quantitative field such as financial mathematics, applied mathematics, Physics, or computer science.
• Fluency in Python or R to interact with our research environment.
• Proficiency in Java or C++ is advantageous.
• Problem-solving mindset, with an emphasis on practical and realistic solutions that can eventually be pushed to production.
• Excellent verbal and written communication skills, to collaborate with other quants, developers, and algo-traders in an English-speaking environment.
• Ability to be responsive, as models may require support through quick analysis or adjustments during the intra-day trading period.

The Quant Execution team is a hybrid Quant/Development team in charge of designing and implementing new strategies for its equity algo platform while maintaining and improving its current algo suite to achieve top quality of execution.
Candidates should have a drive for algorithmic execution and should be eager to work in a demanding environment. As a part of the team, you will be primarily working on the quantitative modelling of intra-day execution strategies along with the consolidation of our in-house frameworks of analytics and prediction models (volume curves, liquidity indicators, …). You will also be in close interaction with developers to help push the models to production, and then with algo-traders to monitor and backtest them.