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- Tasks: Develop complex systems using C#, .Net, and SQL to solve mathematical problems.
- Company: Join a secure FinTech start-up partnered with an established Hedge Fund.
- Benefits: Enjoy a competitive salary of £150k+, with potential for growth and development.
- Why this job: Work on exciting projects that challenge your skills and contribute to innovative financial solutions.
- Qualifications: Must have a strong educational background in maths and programming experience.
- Other info: This role is based onsite in Newcastle, perfect for those seeking a dynamic work environment.
The predicted salary is between 108000 - 180000 £ per year.
Are you a mathematically minded Quantitative Developer with a first class education and strong programming skills? You could be progressing your career, working on complex and interesting systems at a FinTech start-up, they have secure backing and an established Hedge Fund client as a partner.
As a Quantitative Developer you will focus on...
Quantitative Developer C# .Net SQL Maths employer: Client Server
Contact Detail:
Client Server Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Developer C# .Net SQL Maths
✨Tip Number 1
Network with professionals in the FinTech industry, especially those who work as Quantitative Developers. Attend relevant meetups or webinars to connect with potential colleagues and learn about the latest trends in quantitative finance.
✨Tip Number 2
Brush up on your C# and SQL skills by working on personal projects or contributing to open-source projects. This hands-on experience will not only enhance your coding abilities but also give you concrete examples to discuss during interviews.
✨Tip Number 3
Familiarise yourself with the specific mathematical concepts and algorithms commonly used in quantitative finance. Being able to demonstrate your understanding of these topics can set you apart from other candidates.
✨Tip Number 4
Prepare for technical interviews by practising coding challenges that focus on algorithms and data structures. Websites like LeetCode or HackerRank can be great resources to sharpen your problem-solving skills.
We think you need these skills to ace Quantitative Developer C# .Net SQL Maths
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your programming skills in C# and .Net, as well as your experience with SQL and mathematical concepts. Use specific examples to demonstrate your expertise in these areas.
Craft a Strong Cover Letter: In your cover letter, express your passion for quantitative development and how your background aligns with the role. Mention any relevant projects or experiences that showcase your problem-solving abilities and technical skills.
Highlight Relevant Education: Since the job requires a first-class education, ensure you clearly state your academic qualifications. Include any relevant coursework or projects that relate to mathematics and programming.
Showcase Problem-Solving Skills: Quantitative Developers often face complex challenges. In your application, provide examples of how you've tackled difficult problems in previous roles or projects, particularly those involving algorithms or data analysis.
How to prepare for a job interview at Client Server
✨Brush Up on Your Maths Skills
Since the role requires a strong mathematical background, make sure to review key concepts and theories relevant to quantitative finance. Be prepared to discuss how you've applied these skills in previous projects.
✨Showcase Your Programming Expertise
As a Quantitative Developer, proficiency in C# and .Net is crucial. Bring examples of your past work or projects that highlight your coding skills, and be ready to solve coding challenges during the interview.
✨Understand the FinTech Landscape
Familiarise yourself with current trends and technologies in the FinTech sector. Being able to discuss how these trends impact quantitative development will demonstrate your industry knowledge and enthusiasm for the role.
✨Prepare for Problem-Solving Questions
Expect to face technical questions that assess your problem-solving abilities. Practice explaining your thought process clearly and logically, as this will showcase your analytical skills and approach to complex issues.
