Our client is one of the world’s premier investment firms. The firm deploys systematic, computer-driven trading strategies across multiple liquid asset classes, including equities, futures and foreign exchange. The core of our effort is rigorous research into a wide range of market anomalies, fueled by our unparalleled access to a wide range of publicly available data sources.
 
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