Quantitative Developer

About the Company

A renowned global quantitative firm combines the dynamic energy of a start-up environment with the reliability of an established institution. The organization focuses on leveraging sophisticated statistical methodologies to construct and refine models that predict market movements, fueling their financial market successes.

Role Overview

The role involves applying advanced quantitative problem-solving capabilities to construct and enhance models for market prediction. Responsibilities include investigating and developing data mining and machine learning algorithms, researching approaches to model and forecast future price actions, and improving scalable quantitative research frameworks utilizing Python and C++. Moreover, the candidate will act as a strategic advisor across the organization, proposing innovative solutions and leading the design and architecture of essential platform tools for the trading team.

Candidate Requirements

• Between 3 and 8 years of robust development experience, preferably within financial markets
• Proficient in C++ and Python programming languages
• Experience in creating and enhancing quantitative infrastructure is highly advantageous
• A Master’s or PhD degree in Mathematics, Statistics, Operations Research, or a closely related quantitative discipline

Compensation & Benefits

• Attractive base salary combined with a performance bonus scheme
• Flexible remote working arrangements to support work-life balance
• Excellent growth potential with opportunities to make meaningful contributions
• Supportive environment fostering career advancement