Quantitative Trading Analyst: Data-Driven Strategies

Find Data Science Jobs; Greater London; On-site; GBP 65,000 - 90,000; Full time

Job summary

DRW is hiring a Quantitative Trading Analyst to combine risk management, research and technology to create optimal trading strategies within the regulatory framework. You will work closely with traders, software engineers and quantitative researchers and gain exposure to multiple asset classes through hands-on trading experience and data analysis.

Individual discovery and collaboration with fellow team members are encouraged to develop your understanding of market behavior.

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 analysing large data sets using your knowledge of probability and statistics.
• Familiarity programming in Python, C++, C or similar languages.
• Are adaptive, self-motivated, enjoy challenges and significant responsibility, and thrive in fast-paced, competitive environments.
• Can advocate for your perspectives on trading strategies and risk in a concise manner to the team.
• The ability to communicate effectively and work well in teams.

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 in a clear and concise manner
• Be willing to challenge consensus on existing methodologies and trading strategies to contribute to the advancement of the team

Skills

Python

C++

C

Education

Bachelor’s, Master’s or PhD in Mathematics/Statistics/Physics/Engineering/CS

Job description

DRW is hiring a Quantitative Trading Analyst to combine risk management, research and technology to create optimal trading strategies within the regulatory framework. You will work closely with traders, software engineers and quantitative researchers and gain exposure to multiple asset classes through hands-on trading experience and data analysis.

Individual discovery and collaboration with fellow team members are encouraged to develop your understanding of market behavior.