2027 Internship – Quantitative Strategist and Research Intern

Virtu Financial; Dublin; Vor Ort; EUR 17.000 - 21.000; Vollzeit

Benefits dieser Stelle

Daily catered lunches

Onsite gym & workout classes

Onsite barista

Laundry service

Breakfast & lunch

Games room

Zusammenfassung

Virtu Financial in Dublin seeks a Quantitative Strategist Intern to tackle real-world research and engineering problems across quantitative research, algorithm development, machine learning, and deep learning applications. You will be mentored by senior team members and contribute to trading and market analysis projects.

The program runs for 10 weeks from 21 June 2027 to 27 August 2027, with ongoing training, mentorship, and exposure to large-scale data and production systems.

Qualifikationen

• Advanced degree in a quantitative field.
• Strong programming skills in Python and/or C/C++.
• Experience with data analysis libraries (Pandas, NumPy).
• Familiarity with ML/DL frameworks (PyTorch, TensorFlow, JAX).

Aufgaben

• Work on real-world research and engineering problems.
• Apply quantitative analysis and ML/DL techniques to trading data.
• Collaborate with senior team members on research projects.

Kenntnisse

Python

C/C++

Pandas

NumPy

Machine Learning

Deep Learning

Communication

Ausbildung

Advanced degree in Computer Science / Data Science / Mathematics / Statistics / Engineering / Physics

Tools

PyTorch

TensorFlow

JAX

Jobbeschreibung

Virtu is an industry-leading financial technology firm that operates both proprietary trading and client-facing businesses in the global financial marketplace. Our cutting edge, proprietary technology is core to everything we do. We trade in over 35 countries, across 235 financial exchanges and over 25% of retail order flow in the US. is serviced by Virtu. Our team is a dedicated group of traders, quants and developers that are inspired by the unique and exciting challenges we solve every day. Our culture combines the creativity of a fast paced start up, with the stability of a disciplined financial services firm. We are a flat organization and encourage our people to innovate and lean on their teammates for support and collaboration. We have fun, work hard and strive to be virtuous in all we do.

QUANTITATIVE STRATEGIST INTERNSHIPVirtu’s internship program offers graduate students an extraordinary opportunity to learn about the firm and the world’s financial markets. We have built a thoughtful and challenging curriculum with projects that introduce students to the many complex and ever changing problems to solve. Students can expect a company-curated global training week for our interns, real quantitative problems to solve throughout the program and engaging social events to get to know our team and culture.
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
Our Quantitative Strategists and Researchers are an integral part of the algorithmic research team, working to improve Virtu’s trading algorithms by transforming large data sets into robust trading models. Successful researchers enjoy working both independently and collaboratively, are excited to learn and apply modern quantitative, machine learning, and deep learning techniques, and are motivated by seeing their ideas translated into real production systems. Interns will work directly with senior members of the team on research that supports Virtu’s customer market making business. Depending on the project, interns may apply quantitative analysis, statistical modeling, machine learning, or deep learning techniques to identify patterns in large-scale trading data and develop models that improve our trading algorithms. Through these projects, interns will gain exposure to market making, work with large and complex datasets, and be encouraged to think creatively about novel research ideas. Each intern will complete one or two projects, potentially working with different mentors and research groups.
REQUIREMENTS
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.

Company:

Virtu Financial

Level of experience (years):

Senior (5+ years of experience)

Tagged as: Data Analysis, Industry, Ireland, Machine Learning, NLP