Quantitative Researcher

20 hours ago

Singapore Laz Partners Full time

We have partnered with a tier-1 global asset manager looking to hire a Quantitative Researcher (VP level) to join a highly-respected quant research unit within the firm’s investment unit in Singapore

This role offers the opportunity to collaborate closely with cross-functional teams—including risk, trading, and investment strategy—to improve execution outcomes and systematise decision-making processes across a range of asset classes within a multi-asset framework.

**Key Responsibilities**
- Contribute to shaping the team’s research priorities by identifying key themes in execution across equities and other traded markets
- Design and implement quantitative solutions aimed at improving execution quality, working in a highly collaborative and intellectually driven environment
- Develop frameworks to analyse the effectiveness of trading strategies, including assessing broker performance, algorithm behaviour, and market interaction
- Translate cross-asset insights into actionable ideas, particularly around liquidity conditions and market structure developments
- Partner with internal engineering teams to transition research prototypes into scalable, production-grade tools
- Regularly communicate findings and ideas with internal teams, aligning research outputs with broader business objectives
- Utilise large-scale trade and market datasets to uncover insights, and stay connected with industry thought leaders to remain current on market trends and innovations

**Requirements & Qualifications**
- 8-10 years of professional experience in a quantitative research, strategy, or data-driven trading role, ideally with an emphasis on equity markets
- Advanced degree (MSc or PhD) in a quantitative discipline such as statistics, economics, applied mathematics, or computer science
- High proficiency in analytical programming, with deep experience using tools such as Python, R, SQL, or kdb/Q
- Familiarity with execution technologies and metrics, including slippage modelling and transaction cost frameworks
- Proven ability to manage cross-functional research initiatives and engage with both technical and non-technical stakeholders
- A track record of building practical tools or analytics that directly support trading or investment decisions
- Comfort working in a dynamic, data-rich environment with a strong attention to detail and a high standard of analytical rigour

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