Quantitative Trading Internship: Research & Tech

Trading Interview; Dublin; Hybrid; EUR 15,000 - 21,000; Full time

Benefits offered by this job

Accommodation provided

Free onsite catering

Games room

In-house gym

Weekly social events

Job summary

Susquehanna invites applications for a 10-week Quantitative Systematic Trading internship in Dublin. Interns will learn through hands-on projects, trading simulations, and education on options pricing, ML, data analysis, and game theory.

No finance background is required; we provide training. Successful interns are PhD or research master's candidates in the penultimate year and may join our full-time graduate programme in late 2027 or 2028.

Qualifications

• You enjoy diving deep into a question and building mathematical models to reveal patterns in vast amounts of data.
• You have experience writing code to process and analyse large datasets.
• 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.
• You're someone that enjoys setting personal goals and giving your all to achieve them.

Responsibilities

• Engage in real-world algorithmic trading problems and learn about proprietary dataspaces and modelling approaches.
• Work on strategy implementation and trading simulations under senior mentors.
• Participate in a range of trading simulations to understand decision-making in markets.
• Collaborate with trading, quantitative research, and technology teams on projects.

Skills

Research-minded

Technically proficient

Clear communicator

Ambitious

Class of 2027/2028

Education

PhD or research master's student (penultimate year)

Job description

Susquehanna invites applications for a 10-week Quantitative Systematic Trading internship in Dublin. Interns will learn through hands-on projects, trading simulations, and education on options pricing, ML, data analysis, and game theory.

No finance background is required; we provide training. Successful interns are PhD or research master's candidates in the penultimate year and may join our full-time graduate programme in late 2027 or 2028.