At a Glance
- Tasks: Engage in hands-on trading games and project work to develop quantitative research skills.
- Company: Join Susquehanna International Group, a leading firm with a collaborative culture.
- Benefits: Comprehensive training, mentorship from senior traders, and exposure to real-world trading.
- Other info: Experience a unique blend of education and practical application in finance.
- Why this job: No finance background needed; learn and grow in a dynamic environment.
- Qualifications: PhD or research master's graduates with a passion for problem-solving.
The predicted salary is between 29250 - 35750 £ per year.
Susquehanna International Group, LLP in London invites bright PhD or research master's graduates to join our quantitative research graduate programme, run by senior traders and researchers. No finance background required; we teach you everything you need to succeed.
The programme combines education with hands-on trading games and project work, exposing you to problem conceptualisation, modelling, back-testing and iteration, implementation, and monitoring, with a collaborative culture.
Quantitative Researcher – Graduate Programme (London) employer: Susquehanna International Group, LLP
Susquehanna is an exceptional employer for aspiring quantitative traders, offering a dynamic and collaborative work culture that fosters intellectual curiosity and problem-solving. With an industry-leading education programme, graduates gain hands-on experience alongside senior traders, ensuring a smooth transition into the fast-paced world of quantitative trading. Located in the heart of London, our modern office provides unique perks such as free onsite catering and a games room, making it an attractive place for personal and professional growth.
Contact Details:
Susquehanna International Group, LLP Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Quantitative Researcher – Graduate Programme (London)
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Susquehanna International Group, LLP!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Quantitative Researcher – Graduate Programme (London) at Susquehanna International Group, LLP.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Susquehanna International Group, LLP.
✨Apply Directly through Our Website
When you find a suitable opening like Quantitative Researcher – Graduate Programme (London) at Susquehanna International Group, LLP, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Quantitative Researcher – Graduate Programme (London)
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Susquehanna International Group, LLP, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Susquehanna International Group, LLP. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Susquehanna International Group, LLP
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Susquehanna International Group, LLP!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.