At a Glance
- Tasks: Integrate mathematical models into scalable applications using Python and SQL.
- Company: Leading FinTech scale-up in Newcastle with a vibrant team culture.
- Benefits: Competitive salary up to £150k, bonuses, and a social atmosphere.
- Other info: Great opportunity for career growth in a dynamic environment.
- Why this job: Join an Agile team and make an impact in the exciting world of FinTech trading.
- Qualifications: Top-tier academic background in Mathematics or related STEM field.
The predicted salary is between 120000 - 150000 £ per year.
A leading FinTech scale-up in Newcastle is seeking a Data Scientist with strong Python and SQL skills to join their Equities trading team. This role involves integrating mathematical models into scalable applications while working in an Agile environment.
Candidates should have a top-tier academic background in Mathematics or a related STEM field.
In exchange, you will earn a competitive salary package of up to £150k, bonus, and enjoy a social team atmosphere. Apply now to explore this opportunity.
Quantitative Python Data Scientist - FinTech Trading in Newcastle upon Tyne employer: Client Server
Join a dynamic FinTech scale-up in Newcastle, where innovation meets collaboration. We offer a competitive salary package, a vibrant social team atmosphere, and ample opportunities for professional growth in an Agile environment. Be part of a forward-thinking company that values your expertise and encourages you to integrate your mathematical skills into impactful trading solutions.
StudySmarter Expert Advice🤫
We think this is how you could land Quantitative Python Data Scientist - FinTech Trading in Newcastle upon Tyne
✨Tip Number 1
Network like a pro! Reach out to people in the FinTech space, especially those working in trading or data science. A friendly chat can open doors and give you insights that might just land you an interview.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Python and SQL projects. Whether it's a GitHub repo or a personal website, having tangible examples of your work can really impress potential employers.
✨Tip Number 3
Prepare for the technical interview! Brush up on your mathematical models and be ready to discuss how you've integrated them into applications. Practising common data science problems can help you feel more confident.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for you, and applying directly can sometimes give you an edge. Plus, it’s super easy to keep track of your applications!
We think you need these skills to ace Quantitative Python Data Scientist - FinTech Trading in Newcastle upon Tyne
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your Python and SQL skills in your application. We want to see how you can integrate mathematical models into applications, so don’t hold back on showcasing your technical prowess!
Tailor Your CV:Customise your CV to reflect the job description. Mention any relevant experience in FinTech or Agile environments. We love seeing candidates who take the time to align their background with what we’re looking for!
Academic Background Matters:Since we’re after someone with a strong academic background in Mathematics or a related STEM field, make sure to include your qualifications prominently. We want to know about your top-tier education!
Apply Through Our Website:Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity. We can’t wait to hear from you!
How to prepare for a job interview at Client Server
✨Brush Up on Your Python Skills
Make sure you're comfortable with Python, especially in the context of data science. Review key libraries like Pandas and NumPy, and be ready to discuss how you've used them in past projects. Practising coding challenges can also help you demonstrate your problem-solving skills.
✨Know Your SQL Inside Out
Since SQL is crucial for this role, ensure you can write complex queries and understand database management. Prepare to answer questions about data manipulation and retrieval, and maybe even run through a few sample queries during the interview to showcase your expertise.
✨Familiarise Yourself with Agile Methodologies
As the role involves working in an Agile environment, it’s important to understand Agile principles and practices. Be prepared to discuss how you've worked in Agile teams before, and think of examples where you contributed to sprints or collaborated closely with team members.
✨Showcase Your Mathematical Modelling Skills
Given the focus on integrating mathematical models, be ready to talk about your academic background and any relevant projects. Highlight specific models you've worked with, how you implemented them, and the impact they had on your previous work. This will show your potential employer that you can bring valuable insights to their trading team.
