Profile
CAMBRIDGE MACHINES ASSET MANAGEMENT
Cambridge Machines: Quantitative Asset Manager utilizing AI/ML for algorithmic investment strategies
🏢 SME
Last updated: 27 Aug 2024 |
Cambridge Machines is a quantitative asset manager that leverages scientific methods and AI/ML to analyze global financial markets. Founded by experts from top institutions and academia, our team combines cutting-edge research with financial know-how to develop and implement algorithmic investment s...See more
Industry & specialities
Details
Headquarter United Kingdom of Great Britain and Northern Ireland |
Countries of operation Singapore, United Kingdom of Great Britain and Northern Ireland |
Year founded 2017 (7 years) |
Funding status Private |
Company type SME |
Contact
Address:
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Website:
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Key People
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COO
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Co-Founder & CEO
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Signals
At a glance
- Operates in multiple countries
The company has a sophisticated ownership structure and may be part of a large corporate group
* This information is provided to the best of our research ability and we make no warranties for any inaccuracies or omissions.
People Location
- 2· Singapore
Job function
- 1Hidden function
Seniority
- 2Hidden seniority
- 1Hidden seniority
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Export Leads
Job title | Name | Email | Country based in | Job Function | Seniority | |
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COO | hidden.item | hidden.item | hidden.item | |||
Co-Founder & CEO | hidden.item | hidden.item | hidden.item |
* This information is provided to the best of our research ability and we make no warranties for any inaccuracies or omissions.
Auditor: | MOORE STEPHENS LLP |
Share Capital - Ordinary shares: | hidden.item |
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* This information is provided to the best of our research ability and we make no warranties for any inaccuracies or omissions.
Company | Incorporation date | Country of Registration | Share capital | Local SIC |
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| 28 Nov 2017 | Singapore | USD 9,519,188 | 66301: TRADITIONAL/LONG-ONLY ASSET/PORTFOLIO MANAGEMENT |
| 31 Aug 2017 | Singapore | USD 12,495,663 | 64202: OTHER HOLDING COMPANIES |
* This information is provided to the best of our research ability and we make no warranties for any inaccuracies or omissions.
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* This profile contains information from ACRA Information on Corporate Entities from Accounting and Corporate Regulatory Authority which is made available under the terms of the Singapore Open Data Licence version 1.0. Information and datasets on our website are provided on an “as is” and “as available” basis. This website makes no representations or warranties concerning the datasets, including but not limited to any representation or warranty as to the accuracy, completeness, reliability, continued availability, timeliness, non-infringement, title, quality, or fitness for any particular purpose of the datasets to the fullest extent permitted by the law.
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- Where is CAMBRIDGE MACHINES ASSET MANAGEMENT's headquarter?
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- Which countries does CAMBRIDGE MACHINES ASSET MANAGEMENT operate in?
- What CAMBRIDGE MACHINES ASSET MANAGEMENT's spending power?
- Does CAMBRIDGE MACHINES ASSET MANAGEMENT have a presence in the domain it operates in?
* This profile contains information from ACRA Information on Corporate Entities from Accounting and Corporate Regulatory Authority which is made available under the terms of the Singapore Open Data Licence version 1.0.
Information and datasets on our website are provided on an “as is” and “as available” basis. This website makes no representations or warranties concerning the datasets, including but not limited to any representation or warranty as to the accuracy, completeness, reliability, continued availability, timeliness, non-infringement, title, quality, or fitness for any particular purpose of the datasets to the fullest extent permitted by the law.
Information and datasets on our website are provided on an “as is” and “as available” basis. This website makes no representations or warranties concerning the datasets, including but not limited to any representation or warranty as to the accuracy, completeness, reliability, continued availability, timeliness, non-infringement, title, quality, or fitness for any particular purpose of the datasets to the fullest extent permitted by the law.