At a Glance
- Tasks: Build and evaluate trading models using statistical analysis and predictive techniques.
- Company: Pythiasports, a dynamic firm in the heart of London.
- Benefits: 28 days leave plus bank holidays, hybrid work, and additional perks.
- Other info: Work in a vibrant environment with opportunities for growth.
- Why this job: Join a cutting-edge team and make an impact in the trading world.
- Qualifications: Recent graduate or final year student with a passion for data science.
The predicted salary is between 25000 - 32000 £ per year.
Pythiasports in Greater London is seeking a graduate or final year student for their exchange trading team, focusing on statistical analysis and predictive model development.
Responsibilities include building trading models and evaluating their performance.
This hybrid role requires attendance at their London Victoria office two times a week and offers generous leave, including 28 days plus bank holidays, and other benefits.
Trading Data Scientist Graduate — Hybrid London Role employer: Pythiasports
Pythiasports is an exceptional employer for graduates looking to kickstart their careers in trading data science. With a vibrant work culture that fosters innovation and collaboration, employees benefit from generous leave policies, including 28 days plus bank holidays, and ample opportunities for professional growth within the dynamic financial landscape of London. The hybrid working model allows for flexibility while still providing valuable in-office experiences at our London Victoria location.
StudySmarter Expert Advice🤫
We think this is how you could land Trading Data Scientist Graduate — Hybrid London Role
✨Tip Number 1
Network like a pro! Reach out to current employees at Pythiasports on LinkedIn. A friendly chat can give us insights into the company culture and maybe even a referral!
✨Tip Number 2
Show off your skills! Prepare a mini-project or case study that showcases your statistical analysis and predictive modelling abilities. This will help us stand out during interviews.
✨Tip Number 3
Practice makes perfect! Get comfortable with common interview questions for data scientists, especially those related to trading models. We can even do mock interviews together to boost our confidence.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we can keep track of our progress and any updates directly from there.
We think you need these skills to ace Trading Data Scientist Graduate — Hybrid London Role
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights relevant skills and experiences that align with the trading data scientist role. We want to see how your background in statistical analysis and predictive modelling can contribute to our team!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about trading and how your academic journey has prepared you for this hybrid role. Let us know what excites you about working with Pythiasports.
Showcase Your Projects:If you've worked on any projects related to trading models or data analysis, be sure to include them in your application. We love seeing practical examples of your work and how you approach problem-solving!
Apply Through Our Website:We encourage you to apply directly through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Pythiasports
✨Know Your Stats
Brush up on your statistical analysis skills and be ready to discuss how you've applied them in your studies or projects. Pythiasports is looking for someone who can build and evaluate trading models, so having concrete examples will show you're the right fit.
✨Familiarise with Trading Concepts
Make sure you understand basic trading concepts and terminology. Being able to speak confidently about market trends and predictive modelling will impress the interviewers and demonstrate your genuine interest in the role.
✨Prepare Questions
Think of insightful questions to ask during the interview. This could be about their trading strategies or the tools they use for model development. It shows that you're engaged and eager to learn more about the company and the role.
✨Showcase Your Projects
If you've worked on any relevant projects, be ready to discuss them in detail. Highlight your problem-solving skills and how you approached building models or conducting analyses. This practical experience can set you apart from other candidates.
