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- Tasks: Join a dynamic team to develop scalable applications using Python and SQL.
- Company: Exciting FinTech scale-up with strong backing and innovative projects.
- Benefits: Competitive salary up to £150k, bonus, healthcare, and generous holiday.
- Why this job: Make an impact in finance while working in a collaborative and agile environment.
- Qualifications: Strong academic background in Maths or STEM, advanced Python and SQL skills.
- Other info: Enjoy a vibrant office atmosphere with social events and career growth opportunities.
The predicted salary is between 150000 - 150000 £ per year.
Are you mathematically minded, with a first class education and strong Python programming skills? You could be progressing your career, as a Quantitative Data Scientist, working on complex and interesting systems at a FinTech scale-up, they have secure backing and an established Hedge Fund client as a partner.
As a Quantitative Data Scientist within a newly formed Equities trading team, you'll focus on integrating the mathematical models built by Investment Quants, creating scalable, performant and supportable cross asset class applications including APIs, UIs and tools. You'll be mainly using backend Python and SQL.
There's an Agile, collaborative team environment with plenty of problem solving, learning opportunities and career development as the company scales.
Location / WFH: You'll join colleagues in brand new Central Newcastle offices on a full-time basis (Monday to Friday), working hours 0900-1800 with some flexibility. The offices are well equipped and offer fantastic views across the City and the local countryside, many employees walk or cycle in (onsite showers available!).
About you:
- You have an outstanding record of academic achievement - minimum 2.1 in Mathematics or similar STEM discipline from a top tier university (i.e. Russel Group or top 100 global university), backed by A grades at A-level.
- You have commercial experience in a Data Scientist or Quantitative Developer.
- You have advanced Python programming skills.
- You have a strong knowledge of SQL databases.
- You have a thorough understanding of Computer Science fundamentals such as OOP, Data Structures, Design Patterns, Algorithms.
- You're entrepreneurial with good business acumen, keen to take ownership and lead projects.
- You're collaborative, enjoy problem solving and sharing ideas.
What's in it for you:
- As a Quantitative Data Scientist you will receive a competitive package:
- Salary (to £150k, negotiable)
- Bonus
- 25 days holiday
- Bupa healthcare
- Generous pension contribution
- Continuous career development opportunities
- Social team atmosphere with a range of events and early finish for drinks on Fridays.
Apply now to find out more about this Quantitative Data Scientist (Python SQL Maths) opportunity.
At Client Server we believe in a diverse workplace that allows people to play to their strengths and continually learn. We're an equal opportunities employer whose people come from all walks of life and will never discriminate based on race, colour, religion, sex, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. The clients we work with share our values.
Quantitative Data Scientist Python SQL in Newcastle upon Tyne employer: Client Server
Contact Detail:
Client Server Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Data Scientist Python SQL in Newcastle upon Tyne
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Python and SQL projects. This could be anything from personal projects to contributions to open-source. It’s a great way to demonstrate your expertise and passion for data science.
✨Tip Number 3
Prepare for interviews by brushing up on your maths and programming concepts. Practice common data science problems and be ready to discuss your thought process. Remember, they want to see how you approach problem-solving!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be perfect for you. Plus, it’s a great way to get noticed by the hiring team directly.
We think you need these skills to ace Quantitative Data Scientist Python SQL 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've used these tools in real-world scenarios, so don’t hold back on sharing specific projects or experiences that showcase your expertise.
Maths Matters: Since this role is all about quantitative analysis, be sure to mention your academic achievements in Maths or related fields. We love seeing a strong educational background, so flaunt that 2.1 or higher from a top-tier university!
Be Yourself: We’re looking for someone who’s not just technically skilled but also a great fit for our team. Let your personality shine through in your application. Share your passion for problem-solving and collaboration – we value those traits highly!
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. Plus, it makes the whole process smoother for everyone involved.
How to prepare for a job interview at Client Server
✨Know Your Maths and Python
Brush up on your mathematical concepts and Python programming skills. Be ready to discuss how you've applied these in real-world scenarios, especially in data science projects. Prepare examples that showcase your problem-solving abilities using Python.
✨SQL Savvy
Make sure you're comfortable with SQL databases. Review common queries and be prepared to explain how you’ve used SQL in past roles. You might even want to practice writing some queries beforehand to ensure you're sharp on the technical side.
✨Understand the Company and Role
Research the company’s background, especially their FinTech focus and the specific challenges they face in equities trading. This will help you tailor your answers and show that you're genuinely interested in the role and the team you'll be joining.
✨Show Your Collaborative Spirit
Since the role emphasises teamwork, think of examples where you've successfully collaborated on projects. Be ready to discuss how you approach problem-solving in a team setting and how you can contribute to a positive team atmosphere.