Graduate Programme: Quant Trading & ML (Prediction Markets) in London

Graduate Programme: Quant Trading & ML (Prediction Markets) in London

London Trainee 30000 - 40000 £ / year (est.) No working from home possible
PVH (Tommy Hilfiger/Calvin Klein)

At a Glance

  • Tasks: Join a small team to tackle high-impact problems in quantitative trading and prediction markets.
  • Company: PVH, home to iconic brands like Tommy Hilfiger and Calvin Klein.
  • Benefits: Gain hands-on experience with a permanent position for successful candidates.
  • Other info: Exciting twelve-month programme with opportunities for growth and innovation.
  • Why this job: Work on live products from day one and make a real impact in the sports market.
  • Qualifications: Passion for data science, software development, and trading.

The predicted salary is between 30000 - 40000 £ per year.

PVH (Tommy Hilfiger/Calvin Klein) runs a twelve‑month Graduate Programme in quantitative trading, focused on prediction markets in the UK and US sports markets.

You’ll join a small team, work on a live product from day one and tackle high‑impact problems with real data.

The programme blends software development, data science and trading.

You will process data, build probabilistic models, design trading systems and assess performance, with a permanent position offered to successful candidates.

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Graduate Programme: Quant Trading & ML (Prediction Markets) in London employer: PVH (Tommy Hilfiger/Calvin Klein)

Intapp is an exceptional employer, offering a dynamic work environment that fosters innovation and collaboration within the accounting and consulting sectors across EMEA. With a strong commitment to employee growth, Intapp provides ample opportunities for professional development and leadership coaching, ensuring that team members thrive in their careers while contributing to the company's strategic vision. The culture is built on accountability and high performance, making it an ideal place for those looking to make a significant impact in a rapidly evolving industry.

PVH (Tommy Hilfiger/Calvin Klein)

Contact Details:

PVH (Tommy Hilfiger/Calvin Klein) Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Graduate Programme: Quant Trading & ML (Prediction Markets) in London

Get in on the Data Science Meetups

Data science is all about community! Join local meetups or workshops related to data science and analytics. It's a fab way to network with industry professionals, learn about the latest trends, and maybe even snag a lead on an upcoming opportunity at companies like PVH (Tommy Hilfiger/Calvin Klein).

Show Off Your Projects

As a trainee, showcasing your skills is key. Start a GitHub repository with your projects or analytics problems you've solved. Share them on platforms like Kaggle, and make sure to link them on your LinkedIn. Potential employers, including PVH (Tommy Hilfiger/Calvin Klein), love seeing hands-on experience!

Connect with Alumni

Tap into your university's alumni network! Reach out to past graduates who are working in data science roles and see if they'd be willing to chat. They often have great insights into internship openings and can even refer you internally, increasing your chances with companies like PVH (Tommy Hilfiger/Calvin Klein).

Find Internships through Portals and Workshops

Keep an eye out for career fairs and workshops specifically targeting data science roles. Many companies, including PVH (Tommy Hilfiger/Calvin Klein), often scout for trainee talent at these events. Plus, applying directly through job portals and company websites can give you an edge!

We think you need these skills to ace Graduate Programme: Quant Trading & ML (Prediction Markets) in London

Quantitative Trading
Machine Learning
Data Processing
Probabilistic Modelling
Software Development
Performance Assessment
Problem-Solving Skills

Some tips for your application 🫡

Show Off Your Data Skills:Make sure to highlight your data-related skills clearly in your CV. If you've worked on any projects using Python or R, be sure to mention them. Also, if you've dabbled in machine learning, include that too—employers love a hands-on learner!

Include Relevant Projects:Since this is a trainee position, listing your university projects or any personal data science projects can really impress. Attach a GitHub link if possible, so PVH (Tommy Hilfiger/Calvin Klein) can see your code and your thought process. Practical experience, even if it's academic, can set you apart!

Personalise Your Cover Letter:Use your cover letter to show how passionate you are about data science. Describe why you're excited about the opportunity at PVH (Tommy Hilfiger/Calvin Klein) and how the role aligns with your career goals in this dynamic field. We want to see your enthusiasm and potential to grow.

Tailor Your CV for Trainees:Since you’re applying for a trainee position, focus on academic achievements and any relevant coursework in your CV. Don’t sweat the lack of professional experience—your ability to learn and adapt is what counts. Also, make sure to align your CV format with data science norms; keep it clear and concise!

How to prepare for a job interview at PVH (Tommy Hilfiger/Calvin Klein)

Show Off Your Data Skills

Make sure you're ready to chat about the tools we use in data science, like Python, R, or SQL. Brush up on key concepts like data cleaning, analysis, and visualisation — interviewers often delve into these areas to see how you think and approach problems.

Prepare for Practical Assessments

Don't be surprised if you're given a case study or data set to analyse during the interview. We should be prepared to demonstrate how we interpret and present data findings — it's a chance to show off our analytical thinking in real time!

Highlight Your Passion for Learning

As a trainee, it’s all about showing your enthusiasm for data science! Share any personal projects, online courses, or relevant experiences. This tells PVH (Tommy Hilfiger/Calvin Klein) that we’re eager to grow and develop our skills in this exciting field.

Ask Insightful Questions

Use this opportunity to find out more about the team’s projects and tools. Questions like ‘What data challenges are you currently facing?’ can demonstrate our interest while also helping us understand how we might fit into PVH (Tommy Hilfiger/Calvin Klein)’s culture and workflow.