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
Markus Gruber
Head
1.5 Years with WUTIS
Markus studied mathematics with a focus on statistics and machine learning.
He gained notable experience as a Quantitative Analyst in RBI and in several algorithmic trading projects.
Adrian-Victor Ilie
Senior Associate
Alexander Koblinger
Senior Associate
Bence Pal
Senior Associate
Thomas Kirisits
Senior Associate
Rising Stars
The Associates & Analysts
Nicholas Friedrich
Associate
Madalina Braghis
Analyst
Leon Höllhuber
Associate
Aleksandar Gradev
Analyst
David Szaniszlo
Analyst
Noah Weidenhaupt
Associate
Uliana Husak
Analyst