Description:
A prestigious Scientific Quant Fund is seeking a Quantitative Developer (Python) to join their elite team in London. This is a unique opportunity to work at the cutting edge of trading technology, helping to build high-performance trading models and greenfield data platforms that operate at vast scales.
The role offers the chance to shape the future of this team’s infrastructure, combining your software development expertise with your understanding of statistical research and quantitative trading.
Key Responsibilities:
- Build and optimize high-performance trading models and data platforms.
- Work with massive datasets (hundreds of billions of records), extracting, cleaning, and processing data for trading insights.
- Design and maintain efficient data pipelines for fast retrieval and analysis.
- Collaborate with quants and researchers to develop and enhance statistical models and trading algorithms.
- Write high-performance code to support real-time trading strategies.
- Ensure software performance and scalability, working on system design and architecture.
Requirements:
- Minimum 3 years of experience as a Quantitative Developer, Software Engineer, or similar role.
- Proficiency in Python (minimum 3 years’ hands-on experience).
- Strong understanding of data infrastructure and data engineering principles.
- Experience building software for high-performance, large-scale data environments.
- Strong grasp of high-level system design and software architecture.
- Prior experience working with Equities data (preferred).
- Strong problem-solving skills and the ability to work under pressure.
Benefits:
- Highly competitive base salary ranging from £80,000 to £200,000 per year.
- Performance bonus—market leading in the industry.
- Career development opportunities, working alongside some of the world’s top developers, researchers, and traders.
- Exposure to cutting-edge technology, ahead of many competitors in the quant space.
- A fast-paced, collaborative, and innovative environment.