Quantitative Research Director - Volatility trading
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Télécom Paris
CES Data Scientist, Data science
January 1, 2016 – January 1, 2016
Indian Institute of Technology, Delhi
Engineering, Computer Sciences, Quantitative and Mathematical Finance
January 1, 2008 – January 1, 2009
IMT Nord Europe
Engineering, Computer Sciences
January 1, 2005 – January 1, 2009
Qube Research & Technologies
Quantitative Research Director - Volatility trading
May 1, 2023 – Present
Greater London, England, United Kingdom
BNP Paribas CIB
Global Markets - Quantitative Research - Data & AI Lab London - Senior Quantitative Analyst Director
December 1, 2022 – May 1, 2023
BNP Paribas CIB
Global Markets - Quantitative Research - Data & AI Lab London - Senior Quantitative Analyst
September 1, 2017 – November 1, 2022
BNP Paribas CIB
BNP CIB Global Markets - FO IT Client & Sales facing - eFlow Project Leader
July 1, 2013 – September 1, 2017
BNP Paribas CIB
BNP CIB GECD - RAD - Front Office developer
July 1, 2010 – June 1, 2013
Natixis
Equity Derivatives information systems - Structured products
March 1, 2010 – July 1, 2010
Greater Paris Metropolitan Region
Société Générale Corporate and Investment Banking
Equity Derivatives RAD - Prop trading
June 1, 2009 – December 1, 2009
New York City Metropolitan Area
Santander Consumer France
Intern in management of information systems
May 1, 2008 – July 1, 2008
Greater Lille Metropolitan Area
Algorithms and Data Structures in Python
Udemy
June 24, 2026 – Present
Cultural Fit Analysis
The candidate has a strong background in finance, specifically quantitative research and trading. While the target role is 'ML Engineer', the candidate's experience is heavily skewed towards financial applications of data and AI. This could be a good fit for an ML Engineer role within a financial domain. The diversity of projects is not explicitly detailed, but the roles suggest a focus on financial markets. The breadth of skills is primarily within quantitative finance and some exposure to data/AI, which aligns with the target role's technical demands, especially if the role is within FinTech or a similar domain.
Soft Skills & Operational Fit
The candidate's career progression to director-level roles in quantitative research suggests strong analytical, problem-solving, and leadership skills. Experience in 'eFlow Project Leader' and 'Front Office developer' roles implies an ability to work in fast-paced environments and potentially manage projects. However, specific details on communication, teamwork, and stress handling are not available from the provided data.