We are a growing systematic fund manager with a core team of highly accomplished technologists. We apply a wide variety of statistical and machine learning techniques to build investment portfolios and trade our client assets in global equity and futures markets. With locations in the US, China and India, our global team in excess of 50 employees is comprised primarily of research professionals with advanced science, math and technology degrees who explore the universe of quantitative methods for opportunities to enhance and adapt our platform and profit in an exciting and dynamic environment.

About the team:

Technology is an integral part of everything we do and our engineering team is the backbone of our company. Our software engineers work alongside our quants, researchers, and portfolio managers to build data platforms, storage and computational infrastructure, low latency trading systems and simulators that empower our business.

Your responsibilities:

• Design and develop trading systems, simulators and internal research tools
• Design, implement and engineer mission critical infrastructure computing systems
• Work alongside quants, researchers, and portfolio managers to build tools modeling, trading and execution 
• Improve and scale the performance of our trading platforms and expand our low-latency trading systems to new asset classes by using open source technologies

Requirements

• 5+ years of experience developing in Python/C++/Linux in an enterprise environment
• Degree in Computer Science, Engineering or other related fields
• Prior development experience in a fault-tolerant or data intensive application is a plus
• Background in financial industry is a plus but not necessary