As a Quantitative Researcher at Kronos, you will work closely with other world-class talent on improving our advanced high-frequency trading algorithms and prediction models. You will leverage cutting-edge technology and research to solve complex real-world problems in a fast-paced environment. We have a flat organizational structure that is extremely merit-based where top-performers are rewarded accordingly.

Responsibilities

• Design, implement and deploy high-frequency trading algorithms in an active, live trading environment
• Explore trading ideas by monitoring trading systems and analyzing market data, market microstructure, and trading results for patterns
• Conduct research and statistical analysis to refine and optimize trading signals for different markets
• Maintain and improve upon existing simulation and research pipelines for accuracy and time to market
• Work closely with other researchers and software engineers to drive innovation across the firm

Requirements

• Advanced training (Bachelors, Masters, PhD’s) from a top school in Computer Science, Math, Stats, Physics, Financial engineering, Economics or another highly quantitative field 
• Background working in a data-driven research environment
• Excellent analytical skills, with strong attention to detail
• Strong written and verbal communications skills in English
• Proficient in Python and have the ability to quickly learn C++

Preferred Qualifications

• Strong knowledge of probability and statistics
• Proficiency in C++ in a Linux environment