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Susquehanna International Group, LLP

Quantitative Systematic Trading Internship: Summer 2027

London
Posted about 19 hours ago
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Overview

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.

Our quantitative systematic trading summer internship runs for 10 weeks. Managed by a team of dedicated senior traders and quantitative researchers, our education programme is widely recognised as being the best in the industry. Don’t worry if you don’t come from a finance background – we will teach you everything you need to succeed.

A core strength of our internship is that we combine our education with hands-on project work and trading simulations. Interns are immersed in a real-world algorithmic trading problem, learning about our proprietary dataspaces, novel modelling approaches, and strategy implementation. Additionally, quantitative systematic trading interns develop a deep understanding of trading decision-making by participating in various types of trading simulations.

What we’re looking for

  • 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: 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.
  • Class of 2027 or 2028: You’re a PhD or research master’s student in the penultimate year of study, majoring in a quantitative discipline. Successful interns will be invited to join our full-time graduate programme in either September 2027, January 2028 or September 2028.

Reasons to use Rodeo

I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?

Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.

Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.

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Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.

P

Graduate Consultant — 2026 Scheme

PwC·London, UK
£35,000/yr

Why you're a good match

Strong

Your economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.

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It searches the market for you

Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.

Why you're a good match

You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.

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Strong

Experience fit

Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.

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Strong

Only hits

No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.

What’s in it for you:

  • Education: You will attend classes covering a vast range of topics (Options Pricing, Machine Learning, Data Analysis Techniques, Game Theory, Trader Talks, In-house trading games… the list goes on!) from some of the most experienced employees in Susquehanna.
  • 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 collaborative culture allows employees of every level to thrive.
  • Perks: We offer a highly competitive compensation package to our interns. Located in our brand new office in London’s city centre, our office features free onsite catering, a games room and dedicated education space.

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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 systematic trading positions 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 recruiting@sig.com. Any resume or referral submitted in the absence of a signed agreement will not be eligible for an agency fee.

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Skills

Mathematical Modeling
Data Analysis
Coding
Quantitative Research
Algorithmic Trading
Machine Learning
Game Theory
Options Pricing
Communication
Problem Solving

Location

London, England, United Kingdom

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