![Michael Colomb](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>)
Profile
Michael Colomb is currently working as a Quantitative Researcher at Aquatic Capital Management LLC since 2022.
Prior to this, he worked as a Data Scientist at Optiver US LLC from 2020 to 2022.
Michael Colomb active positions
| Companies | Position | Start |
|---|---|---|
Aquatic Capital Management LLC
 Aquatic Capital Management LLC Investment ManagersFinance Aquatic’s Funds seek long-term positive returns that are uncorrelated, over time, with traditional asset classes. In seeking to achieve this objective, the firm intends to employ quantitative investment and trading strategies. These quantitative strategies arise from the systematic application of mathematical, statistical, machine-learning and other models to historical and real-time data to discover persistent patterns in the evolution of market prices, asset volatilities, trading costs, and other relevant fundamental and economic data. | Analyst-Equity | 01/02/2022 |
Former positions of Michael Colomb
| Companies | Position | End |
|---|---|---|
Optiver US LLC
 Optiver US LLC Investment Banks/BrokersFinance Provides brokerage services | Corporate Officer/Principal | 01/01/2022 |
Experiences
Positions held
Active
Inactive
Listed companies
Private companies
Connections
1
1st degree connections
2
1st degree companies
Male
Female
Members of the board
Executives
Linked companies
| Private companies | 2 |
|---|---|
Optiver US LLC
Optiver US LLC Investment Banks/BrokersFinance Provides brokerage services | Finance |
Aquatic Capital Management LLC
Aquatic Capital Management LLC Investment ManagersFinance Aquatic’s Funds seek long-term positive returns that are uncorrelated, over time, with traditional asset classes. In seeking to achieve this objective, the firm intends to employ quantitative investment and trading strategies. These quantitative strategies arise from the systematic application of mathematical, statistical, machine-learning and other models to historical and real-time data to discover persistent patterns in the evolution of market prices, asset volatilities, trading costs, and other relevant fundamental and economic data. | Finance |
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