Investment Associate - Machine Learning / Artificial Intelligence - Asset Management Firm
- Employer
- Greenwich Partners
- Location
- London, United Kingdom
- Salary
- Excellent base and bonus
- Closing date
- Aug 21, 2019
View more
- Job Function
- Trading
- Industry Sector
- Finance - General
- Employment Type
- Full Time
- Education
- Bachelors
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We are now working with a leading asset management firm, who manage a $multi billion portfolio of assets for their institutional client base.
They are now looking to hire an Investment Associate into their team, who will work in their Quant/ Systematic Trading team. The team increasingly uses AI and macjhine learning to make trading decisions on the basis of previous markets histories, events and trends.
The role will focus on creating quant models, systems and strategies for the fund to enable them to maintain alpha for their investors. Day to day, this will focus on computer programming, developing machine learning tools and AI development.
They are interested in meeting people with a background as follows:
- Background in quantative finance, actuarial science, programming
- experience of computer programming
- genuine interest in investing
- at least 2 years work experience
- ideally you will have the CFA or advanced academic qualification.
They are now looking to hire an Investment Associate into their team, who will work in their Quant/ Systematic Trading team. The team increasingly uses AI and macjhine learning to make trading decisions on the basis of previous markets histories, events and trends.
The role will focus on creating quant models, systems and strategies for the fund to enable them to maintain alpha for their investors. Day to day, this will focus on computer programming, developing machine learning tools and AI development.
They are interested in meeting people with a background as follows:
- Background in quantative finance, actuarial science, programming
- experience of computer programming
- genuine interest in investing
- at least 2 years work experience
- ideally you will have the CFA or advanced academic qualification.
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