Banz Capital
Quantitative Analyst & Engineer
TLDR
Automate backtesting, improve trading systems, and develop risk-management algorithms within a quantitatively focused trading fund.
- Automate backtesting through in-sample and out-of-sample processes
- Maintain data quality and organization
- Search for possible improvements and innovations within current trading systems and processes.
- Development and improvement of algorithms for risk management
- Recommendation of new techniques and technologies to achieve objectives
- At least a Master’s degree in Computer Science, Mathematics, Economics or a different related discipline
- Proper programming background with a strong quantitative mind
- Experience and the eagerness to become well versed with programming in R, Go, and Python
- Experience with Java or a different object-oriented programming language
- Basic knowledge of SQL scripting
- 2-3 years of experience in a similar role, or previous work experience in a sports or betting context
All your information will be kept confidential according to EEO guidelines.
Banz Capital is a quantitative fund targeting the digital asset space, leveraging advanced analytics and programming expertise. Our team is made up of skilled professionals from top banking and finance backgrounds, dedicated to navigating and innovating within this rapidly evolving market.