2027 Internship - Quantitative Researcher (Master or PhD)

Location: Dublin

Dates: 10 week program, 21 June 2027 - 27 August 2027 (with flexibility if needed)

Training: Ongoing training throughout the summer

Projects: Interns will work on real-world research and engineering problems throughout the program. Students will select from a portfolio of projects and receive mentorship from several senior team members. Projects may span quantitative research, algorithm development, machine learning, and deep learning applications for trading and market analysis.

Perks: Daily catered lunches, onsite gym & workout classes, onsite barista, laundry service, breakfast & lunch, games room

Advanced degree in Computer Science, Data Science, Mathematics, Statistics, Engineering, Physics, or another quantitative field.

History of diverse, challenging, and interesting coursework paired with a strong GPA

Exceptional quantitative, mathematical, analytical, and problem-solving skills

Strong programming skills, particularly in Python and/or C/C++

Experience with data analysis libraries such as Pandas, NumPy, or similar

Experience with machine learning and/or deep learning frameworks (e.g., PyTorch, TensorFlow, JAX) is desirable

Familiarity with statistical modeling, optimization, or modern AI techniques is desirable

Great communication skills and the ability to collaborate with peers

Ability to solve technical and or quantitative problems under pressure

Ability to express ideas mathematically and algorithmically

Intellectually curious and self-motivated

Ability to communicate within and across teams on both technical and non-technical subjects

Ability to seek guidance, learn quickly, and adapt to new technologies

Extraordinary mental flexibility and a high tolerance for ambiguity

Strong drive for success within a collaborative team

Interest in financial markets is desirable

Virtu Financial is an equal opportunity employer, committed to a diverse and inclusive workplace, welcoming you for who you are and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.