Quantitative Analyst

PhillipCapital; Singapore; On-site; SGD 60,000 - 90,000; Full time

Job summary

A financial services firm in Singapore is seeking a candidate for a role involving hands-on projects in portfolio management, quantitative research, and market strategy. The ideal candidate has a strong quantitative background, proficiency in Python, and a passion for finance and innovation. Familiarity with capital markets is an advantage but not mandatory.

Qualifications

• Bachelor's degree with mathematical rigor or equivalent practical experience.
• Proficiency in Python and data analysis libraries preferred.

Responsibilities

• Hands-on involvement in projects across portfolio management and quantitative research.
• Design and validate systematic trading strategies.
• Monitor and manage market risks.

Skills

Quantitative Foundation

Programming Skills (Python)

Financial & Economic Knowledge

Research & Innovation

Workstyle & Commitment

Education

Bachelor's degree or equivalent experience

Job description

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.