At a Glance
- Tasks: Design and develop trading systems while collaborating with researchers.
- Company: Leading finance tech firm in London with a focus on innovation.
- Benefits: Competitive salary, dynamic work environment, and opportunities for growth.
- Why this job: Combine your coding skills with finance to make a real impact.
- Qualifications: Strong programming experience in Python and/or C++, plus top academic credentials.
- Other info: Join a collaborative team that merges tech with high-performance trading.
The predicted salary is between 36000 - 60000 £ per year.
A leading finance tech firm is looking for a Quantitative Developer to join their team in London. This full-time role involves designing and developing core components for trading systems, collaborating with researchers, and applying innovative engineering skills.
Candidates should have strong programming experience in Python and/or C++, along with exceptional academic credentials from a respected university.
Join a collaborative environment that bridges opportunities in tech with high-performance trading.
Quantitative Developer: Build Trading Systems & Research in London employer: Selby Jennings
Contact Detail:
Selby Jennings Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Developer: Build Trading Systems & Research in London
✨Tip Number 1
Network like a pro! Reach out to folks in the finance tech scene, especially those who work at firms you're interested in. A friendly chat can open doors and give you insider info on job openings.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects in Python or C++. This is your chance to demonstrate your coding chops and innovative thinking, so make it shine!
✨Tip Number 3
Prepare for technical interviews by brushing up on algorithms and data structures. Practice coding challenges online to get comfortable with problem-solving under pressure—it's all about showing what you can do!
✨Tip Number 4
Don't forget to apply through our website! We love seeing candidates who are genuinely interested in joining our team. Plus, it makes tracking your application super easy for us!
We think you need these skills to ace Quantitative Developer: Build Trading Systems & Research in London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your programming experience in Python and/or C++. We want to see how your skills can contribute to building innovative trading systems!
Tailor Your CV: Customise your CV to reflect the key responsibilities mentioned in the job description. This shows us that you understand what we're looking for and how you fit into our team.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about finance tech and how your background makes you a great fit for this role. A personal touch goes a long way!
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 don’t miss out on any important updates!
How to prepare for a job interview at Selby Jennings
✨Know Your Tech Inside Out
Make sure you brush up on your programming skills in Python and C++. Be ready to discuss your past projects and how you've applied these languages in real-world scenarios. Practising coding challenges can also help you think on your feet during technical questions.
✨Understand the Trading Systems
Familiarise yourself with the basics of trading systems and the financial markets. Knowing how trading algorithms work and being able to discuss recent trends in finance tech will show your genuine interest in the role and the industry.
✨Collaborate Like a Pro
Since this role involves working closely with researchers, be prepared to talk about your teamwork experiences. Share examples of how you've successfully collaborated on projects, highlighting your communication skills and ability to integrate feedback.
✨Show Off Your Academic Credentials
Don’t shy away from discussing your academic background. Highlight any relevant coursework or projects that align with the job description. This is your chance to demonstrate how your education has equipped you for the challenges of a Quantitative Developer.