Quant Research Internship — Undergrad (Summer 2027)

Virtu Careers; New York (NY); On-site; USD 228,000 - 264,000; Full time

Benefits offered by this job

Onsite gym and workouts

Onsite barista

Weekly happy hours

Breakfast and Lunch

Transportation

Job summary

Virtu Financial in New York offers a 10-week quantitative internship designed to expose students to the firm and the world’s financial markets. Interns engage in real quantitative problems with senior mentors and participate in a curated training week in New York.

Interns work on projects across the algorithmic research team, applying data analysis to trading models and market making. The program includes onsite perks and a collaborative culture, with ongoing mentorship throughout the summer.

Qualifications

• Degree in Science, Math, Engineering or other quantitative field.
• Strong GPA in relevant coursework.
• Exceptional quantitative, mathematical, and problem-solving skills.
• Great communication skills and ability to collaborate with peers.
• Ability to solve technical and quantitative problems under pressure.
• Strong programming skills (C/C++ and Python, Pandas).
• Intellectually curious and self-motivated.

Responsibilities

• Interns will work directly with senior members on trading strategies and quantitative projects.
• Apply quantitative analysis to real datasets to improve algorithms.
• Collaborate with researchers and traders on market making ideas.
• Complete one to two projects with mentorship over the 10-week program.

Skills

Quantitative analysis

Team collaboration

Problem solving

Communication

Education

Degree in Science, Math, Engineering or other quantitative field

Tools

C/C++

Python

Pandas

Job description

Virtu Financial in New York offers a 10-week quantitative internship designed to expose students to the firm and the world’s financial markets. Interns engage in real quantitative problems with senior mentors and participate in a curated training week in New York.

Interns work on projects across the algorithmic research team, applying data analysis to trading models and market making. The program includes onsite perks and a collaborative culture, with ongoing mentorship throughout the summer.