Quantitative Trading Analyst: Data-Driven Market Strategies

Tradermath; Singapore; Hybrid; SGD 60,000 - 90,000; Full time

Job summary

DRW, a leading diversified trading firm, invites applications for a Quantitative Trading Analyst in Singapore. The role blends risk management, research, and technology to develop trading strategies across multiple asset classes.

You will collaborate with traders, software engineers, and researchers to deepen market understanding through data-driven insights. Ideal candidates are graduating between December 2026 and June 2027 with strong Python/C++ skills and a passion for rapid problem solving

Qualifications

• A bachelor’s, master’s, or PhD in mathematics, statistics, physics, engineering, computer science or related field graduating between December 2026 and June 2027.
• Advanced quantitative, analytical and problem‑solving skills and the ability to deploy those skills during time‑sensitive situations.
• A deep curiosity of analyzing large data sets using probability and statistics.
• Familiarity programming in Python, C++, C or similar languages.
• Adaptive, self‑motivated, enjoy challenges and significant responsibility in fast‑paced, competitive environments.
• Ability to advocate for perspectives on trading strategies and risk concisely to the team.
• Effective communication and teamwork skills.

Responsibilities

• Investigate the potential application of existing strategies to new products.
• Quantitatively analyze trade data and perform post-trade analysis of strategies.
• Assist in the development of analytical tools.
• Communicate relevant news, market events, and system behavior to team members clearly.
• Be willing to challenge consensus on methodologies and trading strategies to advance the team.

Skills

Python

C++

C

Statistics

Data analysis

Education

Bachelor's/Master's/PhD in relevant field graduating Dec 2026 - Jun 2027

Tools

Python

Job description

DRW, a leading diversified trading firm, invites applications for a Quantitative Trading Analyst in Singapore. The role blends risk management, research, and technology to develop trading strategies across multiple asset classes.

You will collaborate with traders, software engineers, and researchers to deepen market understanding through data-driven insights. Ideal candidates are graduating between December 2026 and June 2027 with strong Python/C++ skills and a passion for rapid problem solving