HRB
Our client is one of the worlds premier investment firms. The firm deployssystematic, computer-driven trading strategies across multiple liquid asset classes, includingequities, futures and foreign exchange. The core of their effort is rigorous research into a widerange of market anomalies, fueled by our unparalleled access to a wide range of publiclyavailable data sources.
Role: Quantitative developer who will join the newly formed Central Research Technology team,which builds strategic solutions for research and live trading of quantitative strategies acrossmultiple frequencies and products. This is a unique opportunity to grow your career with theteam while building 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: - 1-5 years of professional software engineering experience in a collaborative environment - Bachelors 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 - Team player with strong pride of ownership - Detail oriented and quick learner in a fast-paced environment #J-18808-Ljbffr
Role: Quantitative developer who will join the newly formed Central Research Technology team,which builds strategic solutions for research and live trading of quantitative strategies acrossmultiple frequencies and products. This is a unique opportunity to grow your career with theteam while building 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: - 1-5 years of professional software engineering experience in a collaborative environment - Bachelors 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 - Team player with strong pride of ownership - Detail oriented and quick learner in a fast-paced environment #J-18808-Ljbffr