Data Science Quant Python - Fintech
Role details
Job location
Tech stack
Requirements
Are you a 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, they have 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!)., * 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
Benefits & conditions
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