Bluesky Capital · 3 months ago
Quantitative Researcher - Investment Management
Bluesky Capital is a global quantitative investment manager and proprietary trader, focused on delivering superior risk-adjusted returns. The Quantitative Researcher will analyze data using statistical and machine-learning techniques to develop models for systematic investment and trading strategies.
Investment Management
Responsibilities
Analyze data using statistical and machine-learning techniques to identify profitable patterns
Retrieve and clean data from various exchanges
Write production quality code to integrate new trading strategies in our current set
Monitor the performance of the strategies deployed into production
Qualification
Required
M.S. or Ph.D. degree from top university in Engineering, Mathematics, Statistics, Computer Science, or related area
Excellent knowledge and prior hands-on experience with Python or Matlab
Knowledge of statistical tools and machine learning techniques
Creative thinkers who are passionate about trading and solving challenging problems
Ability to work independently on both short and long-term projects
Preferred
Knowledge of C++ and Linux
Prior work experience in a trading or investment management environment is a plus
Prior experience in trading
Prior experience with Chinese futures or stocks
Company
Bluesky Capital
Quantitative investment manager investing globally in all asset classes.
Funding
Current Stage
Early StageCompany data provided by crunchbase