Quant Risk & Trading Operations Analyst

Presto; Singapore; On-site; SGD 90,000 - 180,000; Full time

Job summary

Presto, founded in 2014, is an algorithmic trading and financial services firm with a global footprint. We seek a Quantitative Analyst for the Middle Office to advance risk management and trading support in Singapore, collaborating with traders and engineers.

You will contribute to risk monitoring, framework development, and data-driven insights. The role emphasizes Python/SQL automation, cross-functional communication, and growth within a dynamic, expanding team focused on quantitative trading

Qualifications

• 2–5 years of experience in risk management or trading operations within a hedge fund, prop trading firm, or prime brokerage environment.
• Hands-on experience supporting long/short equity and derivatives trading, including trade lifecycle, position/PnL reconciliation.
• Strong proficiency in Python (data analysis and automation), SQL (data extraction/manipulation), and familiarity with Linux environments.
• Ability to communicate effectively with traders, engineers, and external counterparties in English.

Responsibilities

• Develop and maintain risk monitoring frameworks for equity long/short and multi-strategy portfolios, including factor risk models and performance attribution.
• Monitor beta, sector, country, and factor exposures across strategies; highlight concentration, drift, and potential risk issues.
• Analyze crowding, cross-strategy correlation, and common risk drivers across strategies, especially under stress market conditions.
• Conduct quantitative risk and performance analysis to generate actionable insights for traders, management, and risk governance.
• Build, automate, and improve analytical tools and dashboards supporting risk management, capital allocation, and performance evaluation.

Job description

Presto, founded in 2014, is an algorithmic trading and financial services firm with a global footprint. We seek a Quantitative Analyst for the Middle Office to advance risk management and trading support in Singapore, collaborating with traders and engineers.

You will contribute to risk monitoring, framework development, and data-driven insights. The role emphasizes Python/SQL automation, cross-functional communication, and growth within a dynamic, expanding team focused on quantitative trading