Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Lead model development and perform risk analysis in a fast-paced environment.
- Company: A leading global financial organisation with a focus on innovation.
- Benefits: Competitive salary, professional growth opportunities, and a dynamic work culture.
- Why this job: Make an impact in quantitative finance while collaborating with tech teams.
- Qualifications: Advanced degree in a related field and strong quantitative programming skills.
- Other info: Ideal for detail-oriented individuals looking to excel in finance.
The predicted salary is between 30000 - 50000 £ per year.
A leading global financial organization is seeking a Quantitative Analyst to drive quantitative model initiatives for clearing houses. The role requires strong quantitative and programming skills, with a focus on risk analytics and data engineering. The ideal candidate will have an advanced degree in a related field and experience in quantitative finance.
Responsibilities include:
- Leading model development
- Performing risk analysis
- Collaborating closely with technology teams
The environment is fast-paced and detail-oriented.
Quantitative Researcher: Risk Modeling & Data Systems in London employer: Intercontinental Exchange (ICE)
Contact Detail:
Intercontinental Exchange (ICE) Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Researcher: Risk Modeling & Data Systems in London
✨Tip Number 1
Network like a pro! Reach out to professionals in the finance and quantitative research fields on LinkedIn. Join relevant groups and participate in discussions to get your name out there and show off your expertise.
✨Tip Number 2
Prepare for those interviews! Brush up on your quantitative skills and be ready to discuss your past projects. We recommend practising common interview questions related to risk modeling and data systems to boost your confidence.
✨Tip Number 3
Showcase your programming prowess! If you’ve worked with any specific tools or languages, make sure to highlight them during conversations. We want to see how you can leverage your technical skills in a fast-paced environment.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Quantitative Researcher: Risk Modeling & Data Systems in London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your quantitative and programming skills in your application. We want to see how your background aligns with the role, so don’t hold back on showcasing your experience in risk analytics and data engineering!
Tailor Your Application: Take a moment to customise your CV and cover letter for this specific role. Mention relevant projects or experiences that demonstrate your ability to lead model development and perform risk analysis. It’ll make you stand out to us!
Be Detail-Oriented: Since the environment is fast-paced and detail-oriented, ensure your application is free from typos and errors. A polished application reflects your attention to detail, which is crucial for a Quantitative Researcher like you!
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’re considered for the role. Plus, it’s super easy to do!
How to prepare for a job interview at Intercontinental Exchange (ICE)
✨Know Your Quantitative Stuff
Make sure you brush up on your quantitative finance concepts and risk analytics. Be ready to discuss specific models you've worked on and how they apply to real-world scenarios. This shows you not only understand the theory but can also apply it practically.
✨Show Off Your Programming Skills
Since programming is key for this role, be prepared to talk about your experience with relevant languages like Python or R. You might even get asked to solve a coding problem on the spot, so practice some common algorithms and data structures beforehand.
✨Collaborate Like a Pro
This role involves working closely with tech teams, so highlight any past experiences where you successfully collaborated across departments. Share examples of how you communicated complex quantitative ideas to non-technical stakeholders to demonstrate your teamwork skills.
✨Stay Calm Under Pressure
Given the fast-paced environment, it's crucial to show that you can handle stress. Prepare for situational questions that assess how you manage tight deadlines or unexpected challenges. Practising your responses can help you stay composed during the interview.
