Barthelemy Stackler
About Barthelemy Stackler
Barthelemy Stackler is a data engineer with a background in applied mathematics and economics, holding a degree from École Polytechnique. He has extensive experience in the finance sector, having worked for notable firms such as Getco LLC, Two Sigma, TUDOR INVESTMENT CORPORATION, and BNP Paribas.
Work at Two Sigma
Barthelemy Stackler has been employed at Two Sigma since 2018, where he serves in the role of Data Engineering. His work involves leveraging data to support various analytical and operational functions within the firm. Two Sigma is known for its quantitative investing and technology-driven approach, and Stackler contributes to this environment through his expertise in data engineering.
Previous Experience in Financial Services
Prior to his current role, Barthelemy Stackler worked at several notable financial institutions. He was employed at Getco LLC from 2010 to 2016 as an Options Market Maker, where he focused on trading strategies and market dynamics. He also spent 10 months at TUDOR INVESTMENT CORPORATION in 2017, specializing in Statistical Arbitrage. His earlier experience includes a three-year tenure at BNP Paribas, where he worked in Equity Derivatives from 2007 to 2010 and briefly in the Kospi Desk in Tokyo in 2006.
Education and Expertise
Barthelemy Stackler studied at École Polytechnique, where he earned an engineering degree with a focus on Applied Mathematics and Economics from 2003 to 2006. This educational background provides him with a strong foundation in quantitative analysis and problem-solving, which are essential skills in his roles within the financial sector.
Background in Market Making and Arbitrage
Stackler has a solid background in market making and statistical arbitrage, having worked in these areas at prominent firms. His experience at Getco LLC as an Options Market Maker involved executing trades and managing risk in fast-paced market environments. At TUDOR INVESTMENT CORPORATION, he applied statistical methods to identify trading opportunities, further enhancing his expertise in quantitative finance.