Description:
As a Quantitative Developer, will be assisting the Front Office team/ Portfolio Manager with optimising trading systems and back testing strategies across multiple asset classes
Key Responsibilities:
- Develop, implement, and optimize trading systems and quantitative models.
- Collaborate with researchers and traders to translate ideas into production-ready code.
- Design and enhance backtesting frameworks for strategy validation and optimization.
- Ensure low-latency, high-performance execution across diverse asset classes.
- Work with large datasets, improving tools for data ingestion, cleaning, and analysis.
- Continuously improve code performance, scalability, and robustness.
Key Requirements:
- Proficiency in Python, C++, or Java for performance-critical applications.
- Experience in building and optimizing low-latency systems.
- Strong background in data structures, algorithms, and object-oriented programming.
- Understanding of financial markets and quantitative trading strategies.
- Experience with backtesting frameworks and large-scale datasets.
- Phd or Degree in related field e.g. mathematics, computer science or physics is a bonus*