Quant Developer

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

• 1-5 years of professional software engineering experience in a collaborative environment
• Bachelor’s degree or higher in computer science or other quantitative discipline
• Understanding of object oriented programming, design patterns and data structures
• Experience with the software delivery lifecycle and writing production-quality code
• Fluency in Python (and its ecosystem) for data analytics and research
• Familiarity with C++
• Experience working with SQL and historical time series data
• Experience working with real time data/systems preferred
• Reasonable quantitative and statistical skills
• Experience in Finance is preferred
• Open source contributions/projects are a plus