Algorithmic Trading
The future of Finance.
Research.
Backtest.
Implement.
The algorithmic trading division approaches financial markets in a rule based, quantitative environment making use of statistics and various machine learning concepts. The team codifies heuristics from asset selection, to position sizes and other investment criteria. After making it through our assessment center, members contribute along the whole value chain of algorithmic trading starting from idea generation to the final implementation of algorithms, by performing research, designing prototypes, implementing analytics and trading algorithms in order to manage alpha and risk inventory.
What we do as a division
Selected Trading Pitches
Previous
Next
Experienced students take the lead
The Algorithmic Trading Management
Julian Bridi
Head
2 Years with WUTIS
Julian is studying mathematics with a focus on probability and statistics. He has gained notable experience in FX structuring at Deutsche Bank and is currently exploring opportunities in quantitative trading and research.
Tomislav Kolev
Senior Associate
Adrian-Victor Ilie
Senior Associate
Christian Vorhauser
Senior Associate
Rising Stars
The Associates & Analysts
Chorobek Sheranov
Associate
Paulina Heuchel Torres
Associate
Thomas Kirisits
Associate
Nicholas Friedrich
Fellow-Analyst
Alen Sahinpasic
Fellow-Analyst
Noah Weidenhaupt
Fellow-Analyst
Bence Pal
Associate
Alexander Koblinger
Associate
Markus Gruber
Analyst
Bartosz Rybarski
Fellow-Analyst
Leon Höllhuber
Fellow-Analyst
Aleksandar Gradev
Fellow-Analyst
Emma Bronauer
Associate
Denys Shkola
Associate
Samuel Friedlaender
Analyst
Varvara Bondarenko
Fellow-Analyst
Madalina Braghis
Fellow-Analyst
Wilhelmine Häußling
Fellow-Analyst