As a QTS, you will use deep markets knowledge alongside quantitative skills to improve the implementation of systematic trading strategies. Domains include improving algorithmic execution, securities lending, and portfolio financing across a variety of asset classes and markets. You will work at the intersection of trading and research on problems that require market domain expertise but also statistical and quantitative rigor.
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
"Friends of Voleon" Candidate Referral ProgramIf you have a great candidate in mind for this role and would like to have the potential to earn $7,500 if your referred candidate is successfully hired and employed by The Voleon Group, please use this form to submit your referral. For more details regarding eligibility, terms and conditions please make sure to review the Voleon Referral Bonus Program.
