Responsibilities:
- Measure and improve algorithmic execution quality across asset classes
- Conduct high quality research across a variety of market related topics and asset classes. Create relevant reports and present findings across teams
- Write high-quality production level code. Design and develop new packages, data pipelines and production trading applications
- Collaborate with trading and RnD team members to improve our trading strategies
- Provide domain expertise in market microstructure across asset classes to other members of trading and RnD
- Manage relationships with external brokers and trading partners
Requirements:
- 3+ years of experience in a quantitative trading environment with an emphasis on quantitative research
- Bachelor’s degree in a scientific or quantitative discipline
- Highly capable in python, R, and SQL; with the ability to write production level code and develop across teams
- Proficient in basic statistics with an ability to apply valid statistical methods to judge outcomes from real-world data
- Comprehensive understanding of market micro-structure and a passion for markets
- Ability to effectively communicate across teams and present research findings in a clear and concise manner
