As a Quantitative Trader, you will join our interdisciplinary team to monitor, optimize, and enhance the overall performance of our trading strategies and systems. As an integral member of an aggressive and nimble team, you will have the opportunity to tackle challenging problems in programming, mathematics, data analysis, and technology. You’ll work side-by-side traders, quants, and software engineers to develop new trading strategies, create novel and enhance existing valuation models and sources of alpha, perform post trade forensics on specific events of interest as well as analysis of overall trading performance. Skills and knowledge you need or will be exposed to include programming, statistics, computer architecture, computer networks, and general electronic trading concepts.
What You’ll Need:
Degree in STEM or a strong foundation in computers and programming
2+ years of relevant industry experience
Working experience with CME tick-level futures market data
Working knowledge of machine learning and statistics (regression, trees, etc.)
Strong intuition with data sets, understanding of market dynamic and microstructure
Ability to detect empirical relationships, identify, and design new predictive signals
Proven success working with large data sets and developing statistical models
Strong quantitative, analytical and problem-solving skills
Working knowledge of computer architecture and networks
Programming experience in C++, C#, python, or related language
Passion and intellectual curiosity for the financial markets
Entrepreneurial attitude with a keen attention to detail
Strong communication and interpersonal skills
The drive and maturity to handle considerable responsibility