Role:
Experienced quantitative developer who will be one of the senior leads of the newly formed
Central Research Technology team, which builds strategic solutions for research and live trading
of quantitative strategies across multiple frequencies and products. This is a unique opportunity
to design and build the next generation of research and quant trading systems.

Role/Responsibilities:
• Building a robust, scalable research infrastructure, including alpha estimation and risk
modeling components
• Developing a seamless but modular platform to handle all aspects of quant trading -
model building, optimization, and trade execution
• Building high-performance/low-latency modular systems for live trading and simulation
• Developing robust data checking, transformation and storage procedures
• Building visualization tools and monitors for market/trade/position/risk
• Maintenance and troubleshooting of trading systems

Requirements:
- 5+ years of professional software engineering experience in a collaborative environment
- Understanding of object oriented programming, design patterns, data structures and
dependency graphs
- Experience with the software delivery lifecycle and production deployment
- Fluency in Python (and its ecosystem) for data analytics, research and production usage
- Experience with C++
- Experience working with streaming and historical time series data, including a variety of
messaging systems and databases
- Experience developing distributed backtesting, simulation, and real time systems
- Experience with automated reporting, monitoring, and visualization
- Experience in Finance is a strong advantage, but not an absolute requirement
- Reasonable quantitative and statistical skills
- Team player with strong pride of ownership