Virtu Quantitative Strategist (PhD) at Virtu works on interdisciplinary teams to develop predictive models and trading strategies. The role involves researching, analyzing, and improving trading strategies and risk models.
Responsibilities
As a Quant at Virtu, you will be working on interdisciplinary teams alongside traders, quants and seasoned software engineers. The environment is collegiate and collaborative, encouraging exposure to many teams across the globe.
Apply your observation skills and modern statistical methods to identify and build predictive models
Research and implement new trading strategies
Analyze existing strategies to identify potential improvements
Develop risk models and frameworks to manage portfolio risks
Create tools to automate research tasks and improve visualization of complex data sets
PhD in Science, Math, Engineering or other quantitative or STEM programs.
No previous Quant Finance or specific asset class experience required.
History of diverse, challenging, and interesting coursework paired with a strong GPA
Exceptional quantitative, mathematical, and problem-solving skills
Great communication skills and the ability to collaborate with peers
Ability to solve technical and or quantitative problems under pressure
Qualification
PhD in ScienceExceptional quantitativeHistory of diverse
Required
PhD in Science, Math, Engineering or other quantitative or STEM programs
Exceptional quantitative, mathematical, and problem-solving skills
Programming skills (especially Python and C/C++)
Ability to solve technical and or quantitative problems under pressure
Ability to express ideas mathematically and algorithmically
Preferred
No previous Quant Finance or specific asset class experience required
History of diverse, challenging, and interesting coursework paired with a strong GPA
Great communication skills and the ability to collaborate with peers
Intellectually curious and self-motivated
Extraordinary mental flexibility and a high tolerance for ambiguity
Strong drive for success within a collaborative team
