Quantitative Associate

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  Fast learning: We often require learning new tools and technologies. We believe in adopting them if they are particularly well suited for our problems, instead of limiting ourselves to what we already know. However, we are always short of time and therefore have to learn fast.
• Versatility: While each one of us has a core skill, we possess at least one secondary skill as well. Apart from allowing the team to be fluid, it also helps us understand how all pieces (frontend, database, network, servers, etc.) fit together.
• Madness about quality: Put together, individual lines of code should be robust, scalable, high-performance, fault-tolerant, and most importantly, beautiful software. We also stay up-to-date with the latest in the world of software to make ourselves better.
• Passion: To try out new ideas and iterate on existing product features, and love experimenting with new technology if it's right for the job. Because not only do we ride the cutting edge, we make it happen.

• Collaboration: We believe that engineering is a continuous process of learning and improvement and that the best way to learn is by getting help from your fellow engineers. Coding is more fun when you do it together and appreciate the feedback.

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.

• 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.

• 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.

• Annual learning allowance for work-related online courses and books
• Allowance for home office setup
• Latest M1 Macbook Pro + as required hardware and software

• Best of all, our specialty is helping people manage their money. We will help you learn how to manage your own money like a pro