Quantitative Analyst

Phillip Capital is deepening its expertise in quantitative finance to adopt a higher market risk appetite. As part of this commitment, the firm is strengthening its Quantitative Solutions team and seeking motivated candidates eager to work at the intersection of traditional capital markets and the rapidly evolving digital asset space.

This team plays a central role in developing cutting-edge models, strategies, and risk frameworks that support trading, liquidity, and risk management across asset classes. Successful candidates will gain exposure to the tradable universe of securities, quantitative research, and practical applications in both established financial instruments and emerging digital ecosystems.

Responsibilities:

The candidate will have direct, hands-on involvement in projects across portfolio management, quantitative research, and market strategy. Key responsibilities include:

• Alpha Research & Generation: Design, test, and validate systematic strategies drawing on insights from market microstructure, behavioral finance, and cross-asset relationships.
• Risk Management: Continuously monitor and manage both idiosyncratic and systematic risks, adapting to evolving market conditions and firm-wide risk appetite.
• Empirical Research & Market Realities: Incorporate practical frictions such as fees, slippage, cash drag, and liquidity constraints into research and execution processes.
• Idea-to-Execution Pipeline: Translate research concepts into live trading and investment strategies, collaborating with technology teams to ensure robust implementation.
• Trade Reporting & Oversight: Support accurate and timely trade reporting, ensuring compliance with internal policies and external regulatory requirements.
• Independent & Proactive Workstyle: Take initiative in developing research ideas, driving projects end-to-end, and contributing original perspectives to the team.
• Administrative Flexibility: Assist with any other operational or administrative tasks as necessary to support the effectiveness of the team.

Requirements:

The qualified candidate should possess (or be completing) a bachelor's degree with sufficient mathematical rigor or demonstrate equivalent quantitative capabilities through professional or practical experience. Key requirements include:

• Quantitative Foundation: Strong background in statistics, econometrics, and financial time series analysis.
• Programming Skills: Proficiency in Python is required; experience with data analysis libraries and research workflows will be highly valued.
• Financial & Economic Knowledge: Familiarity with finance and economic theory, with an aptitude and curiosity to deepen expertise. Pursuit of relevant professional designations (e.g., CFA, FRM) will be considered a plus.
• Research & Innovation: Ability to go beyond off-the-shelf approaches and customize solutions to complex problems. Prior experience in developing novel or non-standard frameworks is a strong advantage.
• Workstyle & Commitment: Independent, motivated, and willing to work in shifts to support a 24/7 trading and risk management desk.

While experience with capital markets, digital assets, or multi-asset risk frameworks is advantageous, they are not mandatory to the position.