VV

Vladimir Visipkov

Head Of Quantitative Research at CLS Group

Vladimir Visipkov has a diverse work experience spanning multiple industries and roles. Vladimir started their career in 1997 as a Visiting Researcher at Linkoping University. Vladimir then worked as a Project Manager and Information Systems Analyst at Latvian Education Information System from 1997 to 2003. In 2003, they joined The University of Arizona as a Research Assistant, where they worked until 2005. Vladimir then transitioned to a Business Analyst role at ABN AMRO for a brief period from 2006 to 2006.

In 2006, Vladimir joined Credit Suisse as a Risk Adviser for a few months before taking on the role of Quantitative Analyst and Trader from 2007 to 2009. Vladimir then became a Quantitative Researcher working as a self-employed individual from 2009 to 2010.

Following that, they joined Nomura International as part of the Equities Risk Management team from 2010 to 2011. Currently, Vladimir is the Head of Quantitative Research at CLS Group, a position they have held since 2011.

Vladimir Visipkov has a diverse education history spanning multiple fields and institutions. Vladimir began their academic journey by completing their Dipl. Engineer degree in Systems Engineering at Rīgas Tehniskā universitāte (Riga Technical University) from 1987 to 1992. Vladimir further pursued their studies at the same institution and obtained a Dr. Sc. Ing. degree in Engineering from 1992 to 1995.

In 1994, Visipkov expanded their knowledge by becoming a Visiting Researcher at Ghent University, where they focused on Systems Engineering. Later, in 1996, they also served as a Visiting Researcher at Linköping University, specializing in Computer Science.

Continuing their educational pursuits, Visipkov attended the University of Arizona from 2003 to 2005, earning a Master of Business Administration (MBA) degree with a concentration in Finance.

Throughout their career, Visipkov has also acquired various certifications to enhance their skills. In 2014, they became a Certified Financial Risk Manager (FRM) through the Global Association of Risk Professionals. Furthermore, in 2019, they completed the Applied Finance with R Track certification from DataCamp. In 2020, they pursued the Python Programming Track certification, also from DataCamp. More recently, in 2022, they obtained an AI for Trading certification from Udacity.

Vladimir Visipkov's educational journey showcases their continuous pursuit of knowledge in different fields, from engineering and computer science to finance and trading.

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Timeline

  • Head Of Quantitative Research

    June, 2011 - present

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