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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 with cutting-edge technology.
- Qualifications: Strong academic background in Mathematics or STEM, advanced Python skills required.
- Other info: Collaborative environment with great career growth and social events.
The predicted salary is between 43200 - 72000 £ per year.
Are you mathematically minded, with a first-class education and strong Python programming skills? You could be progressing your career, working on complex and interesting systems at a FinTech scale-up, which has secure backing and an established Hedge Fund client as a partner.
As a Data Science Quant 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. Russell Group or top 100 global university), backed by A grades at A-level.
- You have commercial experience as 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 Data Science Quant 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 Data Science Quant (Python 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.
Data Science Quant Python - Fintech employer: Client Server
Contact Detail:
Client Server Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Science Quant Python - Fintech
✨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
Prepare for those interviews by brushing up on your Python skills and understanding the latest trends in data science. Practice coding challenges and be ready to discuss your past projects in detail. Show them you’re not just a number cruncher but a problem solver!
✨Tip Number 3
Don’t just apply anywhere; focus on companies that align with your values and career goals. Use our website to find roles that excite you and tailor your approach to each one. Quality over quantity is key!
✨Tip Number 4
Follow up after interviews! A quick thank-you email can go a long way in keeping you top of mind. It shows your enthusiasm for the role and gives you another chance to highlight why you’re the perfect fit.
We think you need these skills to ace Data Science Quant Python - Fintech
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your Python programming and SQL skills in your application. We want to see how you've used these in real-world scenarios, so don’t hold back on sharing specific projects or experiences!
Tailor Your CV: Customise your CV to match the job description. Use keywords from the listing, especially around your mathematical background and any relevant experience in data science or quantitative development. This helps us see you as a perfect fit!
Craft a Compelling Cover Letter: Your cover letter is your chance to tell us why you're passionate about this role. Share your enthusiasm for fintech and how your background aligns with our needs. Keep it concise but engaging!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy!
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 or quantitative development. Prepare examples that showcase your problem-solving abilities using Python.
✨Understand the FinTech Landscape
Familiarise yourself with the current trends in the FinTech industry, particularly in equities trading. Knowing about the integration of mathematical models and how they impact trading strategies will show your genuine interest and understanding of the role.
✨Showcase Your Collaborative Spirit
Since the role involves working in an Agile team environment, be prepared to discuss your experiences in collaborative projects. Highlight instances where you’ve successfully worked with others to solve complex problems or lead initiatives.
✨Prepare Questions for Them
Interviews are a two-way street! Prepare insightful questions about the company’s culture, the team dynamics, and the specific challenges they face in their projects. This not only shows your enthusiasm but also helps you gauge if it’s the right fit for you.
