Quantitative Researcher Electronic Market Making
Bluesky Capital is a global quantitative investment manager and market maker founded in New York in 2014. It provides systematic investment management, customized managed accounts, crypto asset management, and liquidity services to high-net-worth individuals, family offices, institutional investors, projects, and exchanges.
Projects
About Bluesky Capital Advisors, LLC
Bluesky Capital Advisors, LLC manages investments globally using proprietary quantitative research, systematic strategies, automated execution, risk-management technology, and institutional-grade infrastructure. Its offerings include quantitative investment management across public asset classes, global macro strategies, systematic crypto and crypto market-neutral products, customized asset management, and market-making programs providing 24/7 liquidity to projects and exchanges. The firm serves high-net-worth individuals, family offices, institutional investors, cryptocurrency projects, and exchanges.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You analyze large datasets with statistical and machine learning techniques to identify profitable patterns, retrieve and clean exchange data, develop production trading strategies, monitor their performance, and collaborate with quantitative developers and traders on new ideas.
Requirements
- M.S. or Ph.D. degree in Engineering, Mathematics, Statistics, Computer Science, or a related area
- Hands-on experience with Python or Matlab
- Knowledge of statistical tools and machine learning techniques
- Ability to work independently on short and long-term projects
- Knowledge of C++ and Linux
- Prior trading or investment management experience is a plus
- Prior experience in trading is preferred
Responsibilities
- Analyze large amounts of 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
- Monitor the performance of strategies deployed into production
- Work with quantitative developers and traders to find new trading ideas and improve existing strategies