Data-Driven Trading Strategist

DRW; Singapore; On-site; SGD 70,000 - 100,000; Full time

Job summary

DRW is seeking a Quantitative Trading Analyst in Singapore to blend risk management, research and technology for trading strategies. You will collaborate with traders, software engineers and researchers across multiple asset classes, gaining hands-on experience in data analysis and market behavior.

Ideal candidates will graduate between December 2026 and June 2027 with strong quantitative skills, Python/C++ experience, and a passion for fast paced, team‑oriented environments.

Qualifications

• Bachelor’s, master’s or PhD in mathematics, statistics, physics, engineering or CS with graduation window Dec 2026–Jun 2027.
• Advanced quantitative, analytical and problem solving skills.
• Deep curiosity for analyzing large data sets using probability and statistics.
• Familiarity with Python, C++, or C.
• Adaptive, self‑motivated, thrives in fast‑paced environments.
• Ability to communicate and work well in teams.

Responsibilities

• Investigate applying existing strategies to new products.
• Quantitatively analyze trade data and perform post-trade analysis.
• Assist in developing analytical tools.
• Communicate market events and system behavior clearly to the team.
• Challenge consensus to advance team methods.

Skills

Python

C++

C

Data analysis

Probability & statistics

Education

Bachelor's/Master's/PhD in mathematics, statistics, physics, engineering, computer science or related field graduating between December 2026 and June 2027

Job description

DRW is seeking a Quantitative Trading Analyst in Singapore to blend risk management, research and technology for trading strategies. You will collaborate with traders, software engineers and researchers across multiple asset classes, gaining hands-on experience in data analysis and market behavior.

Ideal candidates will graduate between December 2026 and June 2027 with strong quantitative skills, Python/C++ experience, and a passion for fast paced, team‑oriented environments.