3 hours ago
Base Salary
$200k - $200k/yr
Responsibilities
- Conduct quantitative research with large datasets to understand exchange technology.
- Design strategies to optimize liquidity-taking and quoting strategies for exchange microstructure.
- Develop AI agents, ETL pipelines, and algorithms in Python for ultra-low-latency trading strategies.
- Reverse-engineer and stress-test network and systems programming technologies.
- Collaborate with traders and hardware and software engineers to implement ideas.
Requirements
- Be a current university student graduating between September 2026 and July 2027 while pursuing a degree in Computer Science, Engineering, or a related technology field.
- Demonstrate proficiency in at least one programming language.
- Possess exceptional quantitative ability and analytical skills.
- Be highly motivated to compete in financial markets.
- Have strong communication and collaboration skills and an interest in working across trading and engineering teams.
- Experience with statistical modeling, machine learning, or network technology is preferred but not required.
- Interest in financial markets is preferred; prior financial-markets knowledge is not required.
- Be available for full-time employment beginning in February or August 2027.
Benefits
- Eligible full-time permanent employees may receive a discretionary bonus.
- Benefits include paid leave and insurance.
- The role is full-time and permanent, with a February or August 2027 start date.