![Michael Lisak](data:image/svg+xml,<svg xmlns="http://www.w3.org/2000/svg" width="16" height="16" fill="%231b1b1b" class="bi bi-person-fill" viewBox="0 0 16 16"><path d="M3 14s-1 0-1-1 1-4 6-4 6 3 6 4-1 1-1 1zm5-6a3 3 0 1 0 0-6 3 3 0 0 0 0 6"/></svg>)
Profil
Mr. Michael Lisak is a Co-Founder & Managing Partner at Quantbot Technologies LP.
Mr. Lisak's career began at Morgan Stanley, where he served as an Executive Director within their equity technology division.
Additionally, he was a member of the Equity Trading Lab (ETL), where he specialized in algorithmic trading and electronic market making.
His role within the ETL helped to provide cutting edge cash equities market making and algorithmic trading solutions to Morgan Stanley’s trading desks world-wide.
His most recent experience before co-founding Quantbot was as a member of Merrill Lynch’s statistical arbitrage (QSA) and automated market making (AMM) groups, responsible for electronic market making and high frequency trading technology.
He holds a BS in Computer Science from New York University.
Aktive Positionen von Michael Lisak
| Unternehmen | Position | Beginn |
|---|---|---|
Quantbot Technologies LP
 Quantbot Technologies LP Investment ManagersFinance Quantbot seeks to achieve superior risk-adjusted returns over a multi-year period by applying a statistically driven approach to global investing. The firm uses investment techniques and strategies, generally referred to as statistical arbitrage, in order to accomplish this goal. Their investment strategy focuses on highly liquid equity securities, traded on exchanges or over the counter in US, Asian and European markets. | Gründer | 01.01.2009 |
Ausbildung von Michael Lisak
Erfahrungen
Besetzte Positionen
Aktive
Inaktive
Börsennotierte Unternehmen
Private Unternehmen
Beziehungen
96
Beziehungen ersten Grades
2
Unternehmen ersten Grades
Herr
Frau
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Führungskräfte
Unternehmensverbindungen
| Private Unternehmen | 2 |
|---|---|
Quantbot Technologies LP
Quantbot Technologies LP Investment ManagersFinance Quantbot seeks to achieve superior risk-adjusted returns over a multi-year period by applying a statistically driven approach to global investing. The firm uses investment techniques and strategies, generally referred to as statistical arbitrage, in order to accomplish this goal. Their investment strategy focuses on highly liquid equity securities, traded on exchanges or over the counter in US, Asian and European markets. | Finance |
New York University
 New York University Other Consumer ServicesConsumer Services Functions as a College/University | Consumer Services |
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