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- Tasks: Develop and integrate complex systems in a fast-paced FinTech environment.
- Company: Join a well-backed FinTech start-up partnered with an established Hedge Fund.
- Benefits: Competitive salary of £150k+, with opportunities for career progression.
- Why this job: Work on interesting projects that challenge your skills and enhance your career.
- Qualifications: Strong programming skills and a first-class education in a relevant field.
- Other info: Onsite position in Newcastle, perfect for those who thrive in collaborative settings.
The predicted salary is between 90000 - 210000 £ per year.
Quantitative Developer Newcastle onsite to £150k+
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’ll focus on integrating th…
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Quantitative Developer - FinTech employer: Client Server
Contact Detail:
Client Server Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Developer - FinTech
✨Tip Number 1
Make sure to showcase your strong programming skills in languages relevant to the role, such as Python or C++. Highlight any projects or experiences where you've applied these skills in a quantitative context.
✨Tip Number 2
Emphasize your educational background, especially if you have a degree in mathematics, statistics, or a related field. Mention any specific coursework or projects that demonstrate your quantitative abilities.
✨Tip Number 3
Familiarize yourself with the FinTech landscape and current trends. Being able to discuss recent developments in the industry during your interview can set you apart from other candidates.
✨Tip Number 4
Network with professionals in the FinTech space, especially those who work in quantitative roles. Attend industry meetups or online webinars to make connections that could lead to referrals.
We think you need these skills to ace Quantitative Developer - FinTech
Some tips for your application 🫡
Highlight Your Education: Make sure to emphasize your first-class education in your application. Mention specific degrees or courses that are relevant to quantitative development and how they have prepared you for this role.
Showcase Programming Skills: Detail your programming skills in languages relevant to the position, such as Python, C++, or R. Provide examples of projects or systems you've worked on that demonstrate your proficiency and problem-solving abilities.
Discuss Relevant Experience: Include any previous experience in FinTech or related fields. Highlight your involvement in complex systems and how your contributions led to successful outcomes. This will show your potential employer that you can handle the challenges of the role.
Tailor Your Application: Customize your CV and cover letter to align with the job description. Use keywords from the listing to ensure your application stands out and demonstrates that you understand the specific requirements of the Quantitative Developer position.
How to prepare for a job interview at Client Server
✨Showcase Your Mathematical Skills
Be prepared to discuss your mathematical background in detail. Highlight any relevant coursework or projects that demonstrate your quantitative abilities, as this role requires a strong foundation in mathematics.
✨Demonstrate Programming Proficiency
Make sure to showcase your programming skills during the interview. Be ready to discuss the languages you are proficient in and provide examples of how you've used them in past projects, especially in a financial context.
✨Understand the FinTech Landscape
Research the current trends and challenges in the FinTech industry. Being knowledgeable about the sector will show your genuine interest in the role and help you engage in meaningful discussions with the interviewers.
✨Prepare for Technical Questions
Expect technical questions related to algorithms, data structures, and quantitative analysis. Practice solving problems on the spot, as this will demonstrate your analytical thinking and problem-solving skills.
