Joanis Ollier

Joanis Ollier has a strong background in quantitative finance and data science. Joanis began their career in 2010 as an intern at TOBAM, where they conducted quantitative research. Joanis then worked as a Quantitative Analyst at Barclays from October 2010 to June 2011.

In 2011, Joanis interned as a Quantitative Structurer at BNP Paribas, before joining Citi in February 2012 as a Quantitative Trader. Joanis stayed at Citi until July 2013, utilizing their skills in quantitative finance to make informed trading decisions.

Next, Joanis returned to BNP Paribas in January 2014 as a Quantitative Strategist. Joanis worked in this role until March 2015, before transitioning to their current position as the Head of Data Science at Adikteev.

At Adikteev, a French Ad Tech company, Joanis leads the Data Science team and manages research projects to enhance performance and capitalize on business opportunities. Joanis leverages statistical and stochastic modeling, optimization, machine learning, and reinforcement learning to develop proprietary predictive models and advanced data-intensive algorithms. Joanis specializes in mobile app retargeting, helping performance marketers engage and retarget their app audiences.

Joanis Ollier began their education in 2005 at Université Paris Dauphine - PSL, where they pursued a M.Sc. in Applied Mathematics. Joanis successfully completed their degree and graduated with first-class honors in 2009.

In 2009, they enrolled at ENSAE Paris and pursued a "Grande École" Diploma, M.Sc. program in Mathematics & Quantitative Finance. Joanis studied at ENSAE Paris until 2011 when they completed their degree.

During their time at ENSAE Paris, they also attended Université Paris Cité from 2010 to 2011. At Université Paris Cité, they pursued a DEA Random Modeling (formerly DEA Laure Elie) degree in Applied Mathematics.

Overall, Joanis Ollier's education history consists of a M.Sc. in Applied Mathematics from Université Paris Dauphine - PSL, a "Grande École" Diploma, M.Sc. in Mathematics & Quantitative Finance from ENSAE Paris, and a DEA Random Modeling degree in Applied Mathematics from Université Paris Cité.