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
This position is part of our investment team at Syfe, focusing on quantitative research, portfolio analytics, and portfolio construction. The ideal candidate should have 2-5 years of experience in these areas and will play a key role in developing and refining investment algorithms to enhance Syfe’s portfolio offerings. Additionally, this role will contribute to the design and launch of innovative investment products and strategies, ensuring they are driven by data and aligned with Syfe’s systematic approach to portfolio management.
Key Responsibilities
Conduct quantitative research to improve portfolio construction, asset allocation, and risk management strategies.
Support daily trading across our multi-asset portfolios, ensuring efficient implementation of investment strategies and rebalancing decisions.
Maintain investment models and perform backtesting to validate investment strategies.
Contribute to our investment performance and analytics database to support decision-making.
Contribute to the design and implementation of new investment portfolios based on quantitative insights.
Support the investment advisory and marketing teams by providing performance, risk, and product analytics for client and prospect engagement.
Requirements
2-5 years of experience in quantitative research, investment analytics, or portfolio construction.
Degree in Quantitative Finance, Mathematics or Sciences (postgraduate qualification preferred).
Strong programming skills in Python for data analysis and model development.
Ability to work independently and in a team, balancing multiple priorities in a fast-paced environment.
Detail-oriented, organised, and analytical, with a strong problem-solving mindset.
Prior experience in portfolio construction, asset allocation, risk management or factor-based investing is a strong plus.
Experience with trading execution and portfolio rebalancing across multiple asset classes is a strong plus.