Arvid Bertermann

Arvid Bertermann is currently an Intern in Quantitative Analytics at Barclays, where he is involved in applying machine learning techniques to finance. He has participated in significant discussions and presentations on the integration of machine learning in quantitative finance, showcasing recent results and future possibilities in this field .1

Educational Background

Arvid holds a Master of Science (MS) in Mathematics and Finance from Imperial College London, where he focused on advanced topics such as reinforcement learning trading strategies and high-frequency trading signals .2 His educational background equips him with a strong foundation in both theoretical and practical aspects of quantitative finance.

Professional Experience

Before his role at Barclays, Bertermann gained experience at Morgan Stanley as an Exotic Derivatives Trader .3 His work has included developing innovative trading strategies and utilizing complex financial models, which are essential skills in the fast-evolving landscape of financial analytics.

Contributions to Conferences

Arvid has also contributed to industry conferences, such as the 17th Quantitative Finance Conference, where he presented on topics related to machine learning applications in finance. His discussions often focus on the challenges and opportunities presented by integrating machine learning into traditional financial models .1

In summary, Arvid Bertermann is a promising talent in the field of quantitative analytics, leveraging his academic background and professional experience to contribute to advancements in financial technology.