%20--%3e%3cg%3e%3cg%20id='_Шар_1'%20data-name='Шар_1'%3e%3cg%20id='_Шар_1-2'%20data-name='_Шар_1'%3e%3cpath%20class='cls-1'%20d='M195.6,96.4V0H0v195.6h96.3c5-52.9,46.9-94.9,99.3-99.1h0ZM97.8,19.6c25.9,0,46.8,21,46.8,46.8s-21,46.8-46.8,46.8-46.8-21-46.8-46.8,21-46.8,46.8-46.8Z'/%3e%3cg%3e%3cpath%20d='M452.8,63.7c-5.6,0-10.4,1.7-14.3,5-3.9,3.3-6.6,7.9-8,13.8h-.6v-16.8h-22.8v97.4h22.8v-56.5c0-4.8.8-8.9,2.5-12.3s4-5.9,7.2-7.7c3.1-1.7,6.8-2.6,11.1-2.6s3.8,0,5.5.4c1.7.2,3,.6,3.9.9v-20.7c-.9-.2-1.9-.5-3.2-.6-1.3-.2-2.6-.3-4-.3h-.1Z'/%3e%3cpath%20d='M531.8,69.8c-6.8-4.1-14.8-6.1-24-6.1s-17.4,2.1-24.2,6.3c-6.8,4.2-12.1,10.2-15.9,17.8s-5.6,16.6-5.6,26.8h0c0,10.4,1.9,19.3,5.6,26.8s9.1,13.3,16.1,17.4c7,4.1,15.4,6.2,25.1,6.2s11.9-.8,16.9-2.5,9.2-4,12.9-6.8c3.6-2.9,6.5-6.1,8.6-9.7,2.1-3.6,3.6-7.2,4.4-11l.2-1h-21.3l-.2.6c-.7,2.2-2,4.3-3.9,6.2s-4.2,3.4-7.1,4.6c-2.9,1.2-6.2,1.8-10,1.8s-9.5-1.1-13.1-3.4c-3.7-2.2-6.5-5.4-8.5-9.6-1.9-3.9-2.8-8.7-2.9-14.2h68.1v-7.3c0-9.8-1.8-18.4-5.5-25.7-3.6-7.3-8.8-13.1-15.6-17.1h-.1ZM485,104.8c.4-3.8,1.3-7.2,2.7-10.2,2-4.3,4.7-7.5,8.3-9.7,3.5-2.2,7.5-3.3,12.1-3.3s8.4,1.1,11.8,3.2,6.1,5.3,8.1,9.5c1.4,3,2.2,6.5,2.6,10.5h-45.6,0Z'/%3e%3cpath%20d='M640.5,69.8c-6-4.1-13.2-6.1-21.4-6.1s-8.8.8-12.7,2.3-7.3,3.7-10.2,6.5-5.3,6.1-7.2,10.1h-.6v-16.8h-22.8v129.5h22.8v-48.6h.6c1.8,3.8,4.3,7.1,7.3,9.8,3,2.8,6.5,4.9,10.4,6.3,3.9,1.5,8.2,2.2,12.8,2.2,8.1,0,15.2-2,21.2-6.1s10.6-9.9,13.9-17.4c3.3-7.6,4.9-16.5,4.9-27h0c0-10.6-1.6-19.6-4.9-27.2-3.3-7.6-7.9-13.4-14-17.5h0ZM636.1,114.5c0,6.4-1,11.9-2.9,16.6-1.9,4.7-4.7,8.3-8.2,10.9-3.6,2.6-7.8,3.9-12.7,3.9s-8.9-1.3-12.5-3.9c-3.6-2.6-6.4-6.2-8.5-10.9s-3.1-10.2-3.1-16.6h0c0-6.5,1-12.1,3.1-16.8s4.9-8.3,8.5-10.9,7.8-3.9,12.5-3.9,9,1.3,12.6,3.8,6.3,6.1,8.3,10.8c1.9,4.7,2.9,10.3,2.9,16.9h0Z'/%3e%3crect%20x='673.2'%20y='65.7'%20width='22.9'%20height='97.4'/%3e%3cpath%20d='M791.2,73.4c-5.8-6.5-14.1-9.7-24.8-9.7s-13.5,1.6-18.5,4.7-8.7,7.3-11.3,12.6h-.6v-15.2h-22.8v97.4h22.8v-56.5c0-4.7.9-8.8,2.7-12.4,1.8-3.5,4.3-6.3,7.5-8.3s7-3,11.4-3c6.5,0,11.4,1.9,14.6,5.6,3.2,3.8,4.9,9.1,4.9,16v58.4h22.9v-63c0-11.3-2.9-20.1-8.8-26.6h0Z'/%3e%3cpath%20d='M372.5,36.8c-6.8-3.7-14.6-5.5-23.6-5.5h-51.1v131.6h23.7v-42.9h27.4c8.9,0,16.8-1.9,23.6-5.6,6.8-3.7,12-8.9,15.8-15.5s5.7-14.4,5.7-23.2v-.2c0-8.9-1.9-16.6-5.7-23.3-3.8-6.6-9.1-11.8-15.8-15.5h0ZM370,75.8c0,8-2.3,14.1-7,18.5s-11.3,6.6-19.9,6.6h-21.5v-50.3h21.5c8.6,0,15.2,2.2,19.9,6.5,4.7,4.3,7,10.5,7,18.6v.2h0Z'/%3e%3ccircle%20cx='684.7'%20cy='37.3'%20r='14.7'/%3e%3c/g%3e%3c/g%3e%3c/g%3e%3c/g%3e%3c/svg%3e)
Hiring at Virtu Financial
How is Virtu Financial hiring right now?
Virtu Financial has 14 open roles on Prepin, mostly in data science and software engineering; 2 posted in the last 30 days.
- Hiring for
- Data science (4), Software engineering (4), Backend engineering (2)
- Typical posted pay
- $175K - $200K a year, from 8 roles that list pay
- Main locations
- New York · Austin, TX
Skills Virtu Financial asks for most
PythonJavaAgileC/C++C#C++JavaScriptMachine Learning
Based on the newest 14 open roles Prepin tracks at Virtu Financial.
Opportunities
Which roles are open at Virtu Financial? 14
Software Engineer - Web Application, Front-end (Javascript/React)
New York
engineering
Weekend Systems Engineer
Austin, TX
engineering
Software Engineer - Frontend Trading Application (C#/.NET)
New York
engineering
Software Engineer - Desktop Frontend Developer (C#/Winforms)
New York
engineering
Machine Learning Researcher
New York
engineering
Quantitative Trader (PhD)
Austin, TX
data
Quantitative Strategist (PhD)
Austin, TX; New York
data
Electronic Trading Engineer
New York
engineering
Machine Learning Engineer
New York
engineering
2027 Internship - Quantitative Trading
Austin, TX; Chicago; New York
data
2027 Internship - Software Engineer
Austin, TX; New York
engineering
2027 Internship - Quantitative Researcher (Undergrad)
New York
data
2027 Internship- Hardware Engineer (FPGA)
Austin, TX
engineering
Software Engineer - Client Trading Infrastructure (Java)
New York
engineering
Make your next move
Prepare before applying to Virtu Financial
Identify the requirements you can demonstrate, then choose examples from your work to discuss with the hiring team.
- Build a focused shortlist before you applyCompare role requirements with your experience and give each application a clear reason.
- Machine learning jobsCompare current openings and review what to look for in this role.
- Practice explaining your experience in an interviewRehearse your answers before meeting the hiring team.