Dr. Oliver Steinki, CFA, FRM
Founding Partner & CEO
Role: Combines his expertise in statistical learning techniques, ensemble methods and quantitative trading strategies with his fundamental research skills to maximize investment profitability
Experience: Oliver started working in the financial industry in 2003. Previous roles include multi-asset-class derivatives trading at Stigma Partners, a systematic global macro house in Geneva, research at MSCI (Morgan Stanley Capital Intl.) and corporate banking with Commerzbank. From an entrepreneurial perspective, Oliver has co-founded and invested in several successful start-ups in Switzerland, Germany and the UK. Some of these startups received awards from the FT Germany, McKinsey, Ernst & Young and the German federal ministry of economics. Oliver is also an adjunct professor teaching algorithmic trading and portfolio management courses at IE Business School in Madrid and on the Hong Kong campus of Manchester Business School.
Education: Oliver completed his doctoral thesis in financial mathematics at the University of Manchester and graduated as a top 3 student from the Master in Financial Management at IE Business School in Madrid. His doctoral research investigated the use of ensemble methods to improve the performance of derivatives pricing models based on Lévy processes. Oliver is also a CFA and FRM charterholder
Dr. Peter Miko
Head of Research
Role: Responsible for the implementation of systematic ensemble trading strategies as well as the development of IT investment systems. His strengths include symbolic computer aided calculations and fast-learning pattern recognition algorithms
Experience: Peter previously worked for more than 4 years as a quantitative analyst at Stigma Partners, where he co-developed the systematic trading platform and several investment decision support tools. Before this, he worked for Swissquote Bank as a research engineer after having spent 3 years managing Switrol Technologies, which he co-founded
Education: He holds a PhD in engineering sciences from the Swiss Federal Institute of Technology Lausanne (EPFL) as well as a Master of Science in engineering from Technical University of Budapest. In his doctoral thesis, Peter analyzed the use of artificial intelligence in decision making and later classification of high dimensional complex spaces. He furthermore studied finance and risk management at the University of Lausanne (UNIL)
Dr. Agnes Antal
Role: Using her strong mathematical background, she contributes to the validity checking of every extension of Evolutiq’s core model together with the operational duties related to the recalibration procedures at a Terabyte financial data scale.
Experience: Agnes worked as a post-doctoral scientist at the Swiss Federal Institute of Technology, Lausanne (EPFL) and previously at Budapest University of Technology and Economics. During these more than three years she led independent projects and gained experience in analyzing and modelling quantitative data.
Education: Agnes gained her PhD degree in physics at Budapest University of Technology and Economics (BME) with the result of Summa Cum Laude. During her PhD studies she also spent a semester at University of Stuttgart as a German Academic Exchange Service (DAAD) fellow. Agnes has strong analytical skills proven by her third place at BME University Maths Competition in 2003. Apart from her scientific education, Agnes finished a semester at Master in Financial Engineering at EPFL in order to get an introduction to applied finance. She also won the Lausanne tournament of the Swiss Traders Trophy 2012 which qualified her for the national top 20. Additionally, she was the winner of the TFA (The Finance Association) QUANT brain competition in 2012 in Lausanne.
Dr. Francesco Comandè
Role: Francesco works on enhancing our trading framework which uses dedicated hardware accelerators to be able to increase trading frequency. Industry standard, low level C/C++ language is used to keep computational efficiency high without compromise
Experience: Francesco worked one year as research assistant at the National Research Council (CNR, Italy), investigating the thermodynamics and the conformational stability of proteins in solution. During his PhD studies, he became an expert in numerical simulations and learned how to manage significant research projects
Education: Francesco obtained his PhD degree in Physics at the Swiss Federal Institute of Technology, Lausanne (EPFL) with a thesis on spin dependent processes in organic semiconductors. In the framework of his doctorate, he led his research autonomously, acquiring strong analytical and programming skills. Previously, he graduated with honors in physics at the University of Palermo. In 2003 he achieved the regional selection of the Italian Informatics Olympiads (I.O.I.)
Sales & Research Analyst
Role: Ziad splits his times between the research and sales departments. On one hand, he focuses on researching fundamental market strategies and portfolio optimization techniques. On the other hand, he participates in the fundraising & marketing efforts for EVOLUTIQ’s recently launched multi asset class strategy
Experience: In his past role as a ‘Financial Analyst‘ at McKinsey & Company, he applied statistical and data mining techniques on data pools to extract intelligence to aid in the decision making process
Education: Ziad recently completed his Masters degree in Advanced Finance from IE Business School, where he focused his research on emerging markets and wrote his master’s final thesis focusing on bubble formations in frontier markets. Completed his bachelors degree in Industrial Engineering from Purdue University and a diploma in Investment Banking from the Swiss Finance Academy