Hiring.Camp

Quantitative Trader - Graduate: 2027

Sig

·

Jul 15, 2026

Location
Dublin, IE
Workplace
Onsite
Type
Part-time
Closing date
Today
Source
iCIMS

Description

Overview

Susquehanna’s quantitative trading programme is our full-time, graduate programme that marks the start of an exciting and fast-paced career in one of the world's leading quantitative trading firms. The programme is designed for intellectually curious individuals with a capacity to problem solve in a collaborative and dynamic environment. 

    

Complementing our classroom-based education, graduate quantitative traders are embedded in one of our trading desks, gaining exposure to our strategies and managing risk within the first few months of the programme.   

 

Run by a team of dedicated senior traders, our education programme is widely recognised as being the best in the industry. Our education covers topics such as ETF and options trading, game theory, and programming. Don’t worry if you don’t have a finance background – we will teach you everything you need to succeed. 

What we’re looking for

Problem solver: You enjoy solving puzzles and love it when you discover solutions to complex problems.   

Clear communicator: You enjoy building relationships with those you work closely with and are comfortable sharing ideas, expressing your thoughts, and listening to the views of others.   

Ambitious: You’re someone that enjoys setting personal goals and giving your all to achieve them. Be it in Arts, Sports, Academics, or another passion, you’re not afraid to put in the effort to reach your full potential.   

Soon-to-be or recently graduated student: You should be available to join the graduate programme in June 2027.    

What’s in it for you:  

Education: Our industry-leading education programme is designed to facilitate your transition to the world of quantitative trading. Classes on various topics (Finance, Options, Mock Trading, Game Theory, In-house trading games… the list goes on!) will be complemented by hands-on project work, trading simulations along with learning from senior traders on the desk.   

Collaboration: You will get to work with a wide range of people in the classroom and through your project work; people who share a passion for mathematics, problem-solving, game theory, and technology.    

Decision-making: Game theory is central to Susquehanna’s history as a firm and our trading philosophy. Weekly poker classes, strategy board games, and proprietary trading games will challenge you to optimise outcomes, anticipate moves, and maximise your winnings.   

Culture: Our non-hierarchical, casual, and collaborative culture allows employees of every level to thrive.   

Perks: We offer a highly competitive compensation package to our graduates. Located in Ireland’s Financial Services Centre, in the heart of Dublin’s city centre, our office features free onsite catering, a games room, and a fully equipped in-house gym.   

About Susquehanna 

Susquehanna is a global quantitative trading firm powered by scientific rigor, curiosity, and innovation. Our culture is intellectually driven and highly collaborative, bringing together researchers, engineers, and traders to design and deploy impactful strategies in our systematic trading environment. To meet the unique challenges of global markets, Susquehanna applies machine learning and advanced quantitative research to vast datasets in order to uncover actionable insights and build effective strategies. By uniting deep market expertise with cutting-edge technology, we excel in solving complex problems and pushing boundaries together. 

 

**We hire for our quantitative trading graduate programme on a rolling basis, therefore interested candidates are strongly encouraged to apply early. **  

 Susquehanna is an equal opportunity employer, and we are committed to diversity and inclusion throughout our recruitment process. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruitment process, please contact us.  

If you're a recruiting agency and want to partner with us, please reach out to [email protected]. Any resume or referral submitted in the absence of a signed agreement will not be eligible for an agency fee.

Skills

Machine LearningExcel

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