What are the responsibilities and job description for the Sr. Quant Developer position at Quanta Search?
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
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