Quantitative Strategy & Research Intern — ML & Markets

Virtu Careers; Dublin; On-site; EUR 13,000 - 20,000; Full time

Benefits offered by this job

Daily catered lunches

Onsite gym & workout classes

Onsite barista

Laundry service

Breakfast & lunch

Games room

Job summary

Virtu Financial is offering a 10-week Quantitative Strategist Internship in Dublin. Interns will tackle real-world research and engineering problems with mentorship from senior team members.

Projects span quantitative research, algorithm development, and ML/DL applications for trading and market analysis. The program includes a global training week, exposure to large datasets, and daily perks such as lunches, gym access, and on-site facilities.

Qualifications

• Advanced degree in a quantitative field with strong GPA and coursework.
• Proven programming ability in Python and C/C++.
• Experience with data analysis libraries such as Pandas and NumPy.
• Familiarity with ML frameworks like PyTorch or TensorFlow is desirable.
• Strong communication and collaboration skills for cross-team work.
• Ability to tackle complex quantitative problems under pressure.

Responsibilities

• Work with senior researchers on real-world quantitative research projects.
• Develop models and algorithms for market making and trading analysis.
• Apply ML and deep learning techniques to large datasets.
• Collaborate with mentors and research groups across teams.

Skills

Python

C/C++

Pandas/NumPy

Machine Learning

Communication skills

Problem solving under pressure

Team collaboration

Education

Advanced degree in Computer Science/Data Science/Math/Statistics/Engineering/Physics or quantitative field

Tools

PyTorch

TensorFlow

JAX

Job description

Virtu Financial is offering a 10-week Quantitative Strategist Internship in Dublin. Interns will tackle real-world research and engineering problems with mentorship from senior team members.

Projects span quantitative research, algorithm development, and ML/DL applications for trading and market analysis. The program includes a global training week, exposure to large datasets, and daily perks such as lunches, gym access, and on-site facilities.