Role at a glance
- Salary
- Not Disclosed
- Location
- Dublin, Ireland
- Employment
- Internship
- Experience
- 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
- Education
- Advanced degree in Computer Science, Data Science, Mathematics, Statistics, Engineering, Physics, or another quantitative field.
Spotted an issue?
We’ll check it against the original posting.
Role Summary
This quantitative research internship involves research supporting Virtu’s customer market-making business. Interns complete one or two projects with senior team members, working with large-scale trading data and quantitative methods to develop research and models for trading algorithms.
What You'll Do
- Work directly with senior team members on research supporting the customer market-making business, completing one or two projects with...
- Apply quantitative analysis, statistical modeling, machine learning, or deep learning techniques to large-scale trading data to identify...
- Develop models intended to improve trading algorithms.
- Work on research and engineering projects that may involve algorithm development and machine learning or deep learning applications for...
Generated from the employer's posting. Verify important details before applying.
View full postingQualifications
Requires an advanced degree in a quantitative field, a strong GPA and challenging coursework, strong quantitative and problem-solving skills, programming skills in Python and/or C/C++, and experience with data analysis libraries. Also requires communication and collaboration skills, mathematical and algorithmic thinking, curiosity, adaptability, and the ability to solve problems under pressure.
Required
- Advanced degree in Computer Science, Data Science, Mathematics, Statistics, Engineering, Physics, or another quantitative field
- Strong GPA and a history of diverse, challenging, and interesting coursework
- Strong programming skills, particularly in Python and/or C/C++
- Experience with data analysis libraries such as Pandas, NumPy, or similar
- Exceptional quantitative, mathematical, analytical, and problem-solving skills
- Communication and collaboration skills, including communicating technical and non-technical ideas across teams
- Ability to solve technical and/or quantitative problems under pressure and express ideas mathematically and algorithmically
- Intellectual curiosity, self-motivation, ability to seek guidance, learn quickly, and adapt to new technologies
Preferred
- 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
- Interest in financial markets is desirable
Original job description
Content provided by the employer
Original job description
Content provided by the employer
QUANTITATIVE STRATEGIST INTERNSHIP
- 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.
About the company
Virtu Financial
Large Enterprise
Virtu Financial is a leading technology-driven trading firm that specializes in providing liquidity across a wide range of financial instruments. Founded in 2008, the company leverages innovative algorithms and sophisticated trading strategies to optimize market efficiency and enhance trading performance. With a global presence, Virtu serves institutional clients, retail brokers, and exchanges, utilizing its advanced technology to execute trades at lightning speed and with exceptional precision. Committed to transparency and best execution practices, Virtu Financial is at the forefront of the evolving financial markets landscape.