PhD Quant Research Intern — Trading Algorithms

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

Benefits offered by this job

Onsite Gym & workout classes

Onsite Barista

Weekly happy hours/social events

Breakfast & Lunch

Transportation

Job summary

Virtu Financial offers an internship program for graduate students to learn about quantitative research and trading strategies. Interns will work with senior team members on real problems, applying quantitative analysis to large datasets and trading models.

The program includes a global training week, projects with mentorship, and onsite benefits in New York. Candidates should have a strong quantitative background and advanced degree, with programming skills in C/C++ and Python.

Qualifications

• Advanced degree (preferably PhD) in Science, Math, Engineering or other quantitative field.
• History of diverse, challenging coursework 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; express ideas mathematically and algorithmically.
• Strong programming skills (C/C++ and Python, Pandas).
• Intellectually curious and self-motivated.
• Ability to communicate within and across teams at multiple levels.

Responsibilities

• Work on real problems to solve during the internship under senior mentors.
• Apply quantitative analysis to trading strategies and large datasets.
• Learn to use data analysis tools on trading data and think creatively for trading ideas.
• Complete one to two projects with mentor guidance across different groups.

Skills

C/C++

Python

Pandas

Quantitative analysis

Data analysis

Team collaboration

Education

PhD or advanced degree in Science/Math/Engineering

Tools

Hackerrank

Job description

Virtu Financial offers an internship program for graduate students to learn about quantitative research and trading strategies. Interns will work with senior team members on real problems, applying quantitative analysis to large datasets and trading models.

The program includes a global training week, projects with mentorship, and onsite benefits in New York. Candidates should have a strong quantitative background and advanced degree, with programming skills in C/C++ and Python.