About the Role:
A renowned Hedge Fund is seeking a talented Quantitative Developer to join their Central Research Technology team. This team is at the forefront of building innovative solutions for research and live trading of quantitative strategies across various frequencies and products. This role presents a unique opportunity for career growth while contributing to the development of cutting-edge research and quant trading systems.
Responsibilities:
- Create efficient and reusable C++ libraries focusing on macro instrument analytics (FX, Rates, Credit) for research, back-testing, and live trading purposes.
- Integrate analytics libraries seamlessly into the broader Python research infrastructure, enabling trading teams across Cubist to leverage them in their research and trading workflows.
- Collaborate with Data Services to procure market data essential for real-time and historical analytics.
- Ensure accuracy by reconciling calculations with benchmark sources.
Requirements:
- 1-5 years of professional experience in software engineering within a collaborative setting.
- Bachelor s degree or higher in computer science or a related quantitative discipline.
- Strong grasp of object-oriented programming, design patterns, and data structures.
- Experience with the software delivery lifecycle and producing high-quality code for production environments.
- Familiarity with instrument pricing and risk software patterns.
- Proficiency in C++ and familiarity with Python.
- Exposure to Rates and/or Credit products such as bonds and swaps.
- Solid quantitative and statistical skills.
- A team player with a strong sense of ownership and attention to detail.
- Quick learner who thrives in a fast-paced environment.
- Commitment to upholding the highest ethical standards.