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- 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, and collaborative team culture.
- Why this job: Make an impact in quantitative finance while working with cutting-edge data systems.
- Qualifications: Advanced degree in a related field and strong programming skills required.
- Other info: Dynamic role with opportunities for career advancement.
The predicted salary is between 43200 - 72000 £ 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 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
✨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.
✨Tip Number 2
Showcase your skills! Create a portfolio of your quantitative models or risk analyses. This will give potential employers a taste of what you can do and set you apart from the competition.
✨Tip Number 3
Prepare for interviews by brushing up on your programming skills and understanding risk analytics. Practice common quantitative problems and be ready to discuss your thought process during the interview.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, it’s a great way to show your enthusiasm for joining our team.
We think you need these skills to ace Quantitative Researcher: Risk Modeling & Data Systems
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 experience aligns with the role, especially in risk analytics and data engineering.
Tailor Your CV: Don’t just send a generic CV! Tailor it to reflect your experience in quantitative finance and model development. We love seeing candidates who take the time to connect their background to what we’re looking for.
Be Detail-Oriented: Since the environment is fast-paced and detail-oriented, make sure your application is free of typos and errors. We appreciate attention to detail, so double-check everything before hitting send!
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and ensure it reaches the right people!
How to prepare for a job interview at Intercontinental Exchange (ICE)
✨Brush Up on Your Quant Skills
Make sure you’re well-versed in quantitative finance concepts and risk analytics. Review key models and methodologies relevant to the role, as you might be asked to discuss them in detail or even solve problems on the spot.
✨Show Off Your Programming Prowess
Since programming skills are crucial for this position, be prepared to demonstrate your coding abilities. Familiarise yourself with languages commonly used in quantitative research, like Python or R, and practice coding challenges that relate to data systems.
✨Know the Company Inside Out
Research the financial organisation thoroughly. Understand their approach to risk management and any recent developments in their quantitative model initiatives. This will help you tailor your answers and show genuine interest during the interview.
✨Prepare for Collaboration Questions
Given the emphasis on working closely with technology teams, think of examples from your past experiences where you successfully collaborated on projects. Be ready to discuss how you handle feedback and work in a fast-paced environment.
