What You’ll Do:

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
• Capability to quickly recover from mistakes

• Competitive salaries and performance bonuses
• Top-tier medical, vision, and dental coverage
• Relocation assistance packages
• Generous vacation policy
• Training opportunities and continuing education
• Catered lunch, snacks, and beverages
• Group outings and company parties
• Casual dress environment