Investment Intern
Syfe Pte. Ltd.
Date: 3 days ago
Area: Singapore, Singapore
Contract type: Full time
About Syfe
Syfe is a digital investment platform with a mission to empower people to grow their wealth for a better future. Built on the pillars of advice, access and innovation, we cater to the full spectrum of an individual's wealth needs across diversified proprietary portfolios, cash management solutions and a state-of-the-art brokerage.
The Syfe team combines world-class financial expertise with best in-class technology talent. Excellence in execution is in our DNA and we offer equity ownership to all employees regardless of seniority and designation.
We are regulated by the financial authorities across Singapore, Hong Kong and Australia. In Singapore alone, where we are headquartered, over 250,000 investors trust Syfe to grow their wealth. Since its founding, Syfe has raised US$79 million from world-class investors.
The company has won multiple awards including Wealth Management Fintech of the Year by the Asian Banking and Finance Awards, as well as being recognized as one of the Top LinkedIn Startups in Singapore.
The Right Profile
We are looking for a Quantitative Investment Intern to join our fast-growing team. The overall responsibility of the team is to build and refine the investment algorithms necessary to develop and broaden Syfe’s product offerings in the firm’s endeavor to be the premier digital wealth manager in Singapore and the Asian region.
Responsibilities
Provide quantitative investment support to the team, including helping to build models and performing point-in-time back-tests to validate such models
Help to build and maintain an investment performance and analytics database in support of the algorithmic investment decision-making process
Support the investment advisory and marketing teams in providing investment, performance and product analyses to the firm’s clients and prospects
Minimum Qualifications
Candidates holding or pursuing a Bachelor's, Master’s or Ph.D. students in mathematics, statistics, computer science, financial engineering, or any relevant
Proficiency in Python
Able to adapt quickly and work in a fast-paced environment
Ability to manage multiple tasks
Can commit 6 months full-time internship (Able to start in July)
Note
Submission of coding portfolio is compulsory
Syfe is a digital investment platform with a mission to empower people to grow their wealth for a better future. Built on the pillars of advice, access and innovation, we cater to the full spectrum of an individual's wealth needs across diversified proprietary portfolios, cash management solutions and a state-of-the-art brokerage.
The Syfe team combines world-class financial expertise with best in-class technology talent. Excellence in execution is in our DNA and we offer equity ownership to all employees regardless of seniority and designation.
We are regulated by the financial authorities across Singapore, Hong Kong and Australia. In Singapore alone, where we are headquartered, over 250,000 investors trust Syfe to grow their wealth. Since its founding, Syfe has raised US$79 million from world-class investors.
The company has won multiple awards including Wealth Management Fintech of the Year by the Asian Banking and Finance Awards, as well as being recognized as one of the Top LinkedIn Startups in Singapore.
The Right Profile
We are looking for a Quantitative Investment Intern to join our fast-growing team. The overall responsibility of the team is to build and refine the investment algorithms necessary to develop and broaden Syfe’s product offerings in the firm’s endeavor to be the premier digital wealth manager in Singapore and the Asian region.
Responsibilities
Provide quantitative investment support to the team, including helping to build models and performing point-in-time back-tests to validate such models
Help to build and maintain an investment performance and analytics database in support of the algorithmic investment decision-making process
Support the investment advisory and marketing teams in providing investment, performance and product analyses to the firm’s clients and prospects
Minimum Qualifications
Candidates holding or pursuing a Bachelor's, Master’s or Ph.D. students in mathematics, statistics, computer science, financial engineering, or any relevant
Proficiency in Python
Able to adapt quickly and work in a fast-paced environment
Ability to manage multiple tasks
Can commit 6 months full-time internship (Able to start in July)
Note
Submission of coding portfolio is compulsory
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