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You will be updated with latest job alerts via emailAt Susquehanna our quantitative systematic traders represent a true hybrid of our core disciplines: trading technology and quantitative research. Drawing on their technical proficiency research experience and understanding of trading quantitative systematic traders work involves identifying trading signals developing strategies and collaborating extensively with members of the trading quantitative research and technology teams.
As a graduate on our quantitative systematic trading programme you will benefit from our industry-leading education programme run by a team of senior traders and quantitative researchers. Dont worry if you dont come from a finance background we will teach you everything you need to succeed.
A core strength of our graduate programme is that our classroom-based education is complemented by hands-on trading simulations and project work. Graduates are immersed in real-world algorithmic trading problems learning about our proprietary dataspaces novel modelling approaches and strategy implementation. Additionally quantitative systematic trading graduates develop a deep understanding of trading decision-making by participating in various types of trading simulations.
Research-minded: You enjoy diving deep into a question and building mathematical models to reveal patterns in vast amounts of data.
Technically proficient: You have experience writing code to process and analyse large datasets.
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: Youre someone that enjoys setting personal goals and giving your all to achieve them. Be it in Arts Sports Academics or another passion youre not afraid to put in the effort to reach your full potential.
Soon-to-be masters/PhD graduate or post-doc: You conduct research in a quantitative discipline and are available to join the programme in June 2026.
Whats 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 (Options Pricing Machine Learning Data Analysis Techniques Game Theory Trader Talks In-house trading games the list goes on!) will be complemented by hands-on project work and trading simulations.
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.
Culture: Our non-hierarchical casual and collaborativeculture allows employees of every level to thrive.
Perks: We offer a highly competitive compensation package to our graduates. Located in Irelands Financial Services Centre in the heart of Dublins city centre our office features free onsite catering a games room and a fully equippedin-house gym.
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 youre a recruiting agency and want to partner with us please reach out to . Any resume or referral submitted in the absence of a signed agreement will not be eligible for an agency fee.
Please note that applications for this job require an online assessment. This assessment is administered by a third party company Induslynk Training Services Private Limited (doing business as Mercer Mettl) registered in India. By clicking through to apply for this job you are giving Susquehanna your consent to have your email address transferred to Mercer Mettl by the administrator of our careers platform. Mercer Mettl will then contact you directly in order to administer the assessment. The results of your assessment will be shared with Susquehanna for the purposes set out and in accordance with Susquehannas Privacy Policy: Mercer Mettls Privacy Policy can be found here:
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