Quantitative Research Intern
Akuna Capital is a proprietary trading firm specializing in options market making. It provides liquidity across global financial markets using advanced technology, quantitative research, trading strategies, and automation.
About Akuna Capital
Akuna Capital is a global proprietary trading firm headquartered in Chicago, with offices in London, Sydney, Shanghai, and Singapore. The firm provides liquidity as an options market maker across global financial markets, covering products including commodities, indexes, and cryptocurrencies. Akuna designs and develops its own low-latency trading systems, mathematical models, strategies, and infrastructure through its Technology, Trading, Quant, and Operations departments. It also offers an Options 101 course introducing industry fundamentals and options trading concepts.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You develop trading strategies with statistical and machine learning algorithms, design portfolio construction optimization algorithms, develop quantitative models of market behavior, and explore new research topics.
Requirements
- Pursuing a bachelor’s, master’s, or PhD in Statistics, Computer Science, Engineering, Mathematics, or a related subject
- Expertise in statistics and machine learning
- Experience building mathematical models for complex real-world problems
- Intermediate Python programming skills
- Ability to react quickly and accurately to changing market conditions and solve math and coding problems
- Must graduate by August 2028
- GPA of 3.5 or above
- Legal authorization to work in the U.S. on the first day of employment
Responsibilities
- Develop trading strategies using statistical and machine learning algorithms
- Design and implement optimization algorithms for portfolio construction
- Develop quantitative models describing market behavior
- Advance existing research initiatives
- Explore opportunities for new research topics