Middle Office Quant Analyst: Risk Analytics & Trading Insights

Presto; Singapore; On-site; SGD 90,000 - 140,000; Full time

Job summary

Presto, a quantitative trading and financial services firm, is seeking a motivated Quantitative Analyst to join the Middle Office. You will contribute to risk monitoring, performance analysis, and trading support across equity long/short and multi-strategy portfolios.

Ideal candidates have 2–5 years in risk management or trading operations, strong Python and SQL skills, and the ability to communicate with traders and engineers in English.

Qualifications

• 2–5 years of experience in risk management / 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, and interaction with trading / investment teams.
• 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

Skills

Python

SQL

Linux

English

Job description

Presto, a quantitative trading and financial services firm, is seeking a motivated Quantitative Analyst to join the Middle Office. You will contribute to risk monitoring, performance analysis, and trading support across equity long/short and multi-strategy portfolios.

Ideal candidates have 2–5 years in risk management or trading operations, strong Python and SQL skills, and the ability to communicate with traders and engineers in English.