At a Glance
- Tasks: Join a dynamic team to rebuild a cutting-edge QIS trading platform.
- Company: Tier-1 Bank in London with a high-performing QIS team.
- Benefits: Competitive salary, career advancement, and the chance to shape the future of finance.
- Other info: Collaborative environment with opportunities for professional growth and learning.
- Why this job: Make a real impact on innovative projects in a leading financial institution.
- Qualifications: 3-10 years in software development, strong Python skills, and a passion for tech.
The predicted salary is between 72000 - 108000 € per year.
A high-performing QIS team at a Tier-1 Bank in London is undergoing an exciting expansion. The team is revisiting its trading platform to better manage the growing demand of their QIS business. This is an ambitious project that aims to ensure the bank remains a leader in the QIS space. The hire will inherit a legacy platform though will be instrumental in shaping the future of the platform, alongside the established Hiring Manager and a dedicated team of developers and software engineers. The platform will be used by front-office quantitative researchers, structurers, and traders; the hire must have strong communication skills to best integrate their needs and priorities in the platform. This is a VP-level opportunity.
Responsibilities
- Contribute to the rebuild of a front-office QIS platform, integrating modern tooling and scalable architecture.
- Develop robust, maintainable software with strong versioning, caching, and execution environments.
- Collaborate with structurers, traders, and quant teams to deliver high-impact solutions.
- Build tooling to support market data access and AI-enhanced user experiences.
Requirements
- 3-10 years of experience building production-grade software.
- Proficiency in Python and at least one other language (e.g., Rust, Haskell, etc.).
- Experience building and maintaining long-term software projects.
- Strong Computer Science fundamentals (algorithms, data structures, design principles).
- An advanced degree in Computer Science, or related degrees (optional, but preferred).
- Exposure to greenfield projects and experience scaling them up (optional, but preferred).
Quantitative Developer - QIS Platform in Wolverhampton employer: Selby Jennings
Join a prestigious Tier-1 Bank in London, where you will be part of a high-performing QIS team that is at the forefront of innovation in the financial sector. With a strong emphasis on collaboration and professional development, this role offers the opportunity to shape the future of a critical trading platform while working alongside experienced professionals in a dynamic and supportive work culture. The bank values employee growth and provides access to cutting-edge tools and resources, making it an excellent employer for those seeking meaningful and rewarding careers in finance technology.
StudySmarter Expert Advice🤫
We think this is how you could land Quantitative Developer - QIS Platform in Wolverhampton
✨Tip Number 1
Network like a pro! Reach out to current employees at the bank or in similar roles on LinkedIn. A friendly chat can give you insider info and might even lead to a referral.
✨Tip Number 2
Show off your skills! If you’ve got a GitHub or portfolio, make sure it’s up to date with your best projects. This is your chance to demonstrate your coding chops and problem-solving abilities.
✨Tip Number 3
Prepare for the interview by brushing up on your communication skills. You’ll need to explain complex concepts clearly to non-tech folks, so practice explaining your past projects in simple terms.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who take that extra step!
We think you need these skills to ace Quantitative Developer - QIS Platform in Wolverhampton
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Quantitative Developer role. Highlight your experience with Python and any other languages you know, as well as your work on production-grade software. We want to see how your skills align with our needs!
Showcase Your Projects:Don’t just list your previous jobs; showcase specific projects you've worked on, especially those involving scalable architecture or modern tooling. This will help us understand your hands-on experience and how you can contribute to our ambitious platform rebuild.
Communicate Clearly:Strong communication skills are key for this role. In your application, be clear and concise about your experiences and how they relate to collaborating with traders and quant teams. We want to see that you can integrate their needs into your work!
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from our team!
How to prepare for a job interview at Selby Jennings
✨Know Your Tech Stack
Make sure you’re well-versed in Python and any other languages mentioned in the job description, like Rust or Haskell. Brush up on your knowledge of algorithms and data structures, as these are likely to come up during technical discussions.
✨Understand the QIS Landscape
Familiarise yourself with the Quantitative Investment Strategies (QIS) space. Research current trends and challenges in the industry, and be ready to discuss how your skills can help the bank stay ahead in this competitive field.
✨Showcase Your Collaboration Skills
Since the role involves working closely with traders, structurers, and quant teams, prepare examples that demonstrate your ability to communicate effectively and collaborate on complex projects. Highlight any past experiences where you successfully integrated diverse team needs into a project.
✨Prepare for Problem-Solving Questions
Expect to tackle some problem-solving scenarios during the interview. Practice coding challenges and think through how you would approach rebuilding a legacy platform. Be ready to explain your thought process clearly and logically.
