Virtu's business problem is to improve its trading algorithms by transforming large datasets into usable trading models, ultimately enhancing its market-making business.
Requirements
- Exceptional quantitative, mathematical, and problem-solving skills
- Ability to solve technical and or quantitative problems under pressure
- Ability to express ideas mathematically and algorithmically
- Strong programming skills (especially C/C++ and Python, Pandas)
- Degree in Science, Math, Engineering or other quantitative field
- History of diverse, challenging, and interesting coursework paired with a strong GPA
Responsibilities
- transforming large data sets into usable trading models
- apply their quantitative analysis and research skills to discover patterns that can potentially improve our trading algorithms
- learn to apply basic data analysis tools to large trading data sets
- be pushed to think out of the box for trading ideas
- work directly with senior members of the team on our trading strategies used in Virtu's customer market making business
Other
- Great communication skills and the ability to collaborate with peers
- Intellectually curious and self-motivated
- Ability to communicate within and across teams, at a high and low level, on both technical and non-technical subjects
- Ability to seek guidance and learn new skills from peers
- Extraordinary mental flexibility and a high tolerance for ambiguity
- Strong drive for success within a collaborative team
- Interest in financial markets
