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- Tasks: Validate and monitor risk models to ensure accuracy and compliance.
- Company: Leading financial services company in Greater London with a collaborative culture.
- Benefits: Competitive salary, professional development, and a dynamic work environment.
- Why this job: Join a pivotal role in the heart of financial markets and make a real impact.
- Qualifications: Advanced degree in Mathematics and strong experience in model validation.
- Other info: Proficiency in Python and SQL required; excellent communication skills are a must.
The predicted salary is between 43200 - 72000 £ per year.
A leading financial services company in Greater London is seeking a Quantitative Risk Manager to join its Model Risk Management team. This role involves validating and monitoring risk models for accuracy and compliance with regulations.
Candidates should have an advanced degree in Mathematics or a related field and strong experience in model validation and quantitative analysis. Proficiency in Python and SQL is essential, along with excellent communication skills.
This position offers a collaborative environment at the heart of financial markets.
Senior Quantitative Risk Manager – Model Risk & Validation in London employer: Intercontinental Exchange (ICE)
Contact Detail:
Intercontinental Exchange (ICE) Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Quantitative Risk Manager – Model Risk & Validation in London
✨Tip Number 1
Network like a pro! Reach out to professionals in the financial services sector, especially those in model risk management. Use platforms like LinkedIn to connect and engage with them; you never know who might have the inside scoop on job openings.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your quantitative analysis projects or model validation work. This can really set you apart during interviews and give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Practice makes perfect! Brush up on your Python and SQL skills before interviews. Consider working on some real-world problems or case studies to demonstrate your proficiency and problem-solving abilities.
✨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, applying directly can sometimes give you an edge over other candidates.
We think you need these skills to ace Senior Quantitative Risk Manager – Model Risk & Validation in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in model validation and quantitative analysis. We want to see how your skills align with the role, so don’t be shy about showcasing your proficiency in Python and SQL!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about risk management and how your advanced degree in Mathematics or a related field makes you a perfect fit for our team.
Showcase Your Communication Skills: Since excellent communication is key in this role, consider including examples of how you've effectively communicated complex ideas in previous positions. We love seeing candidates who can bridge the gap between technical and non-technical audiences!
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 Models Inside Out
Make sure you’re well-versed in the risk models you’ve worked with. Be ready to discuss their validation processes, any challenges you faced, and how you ensured compliance with regulations. This shows your depth of knowledge and experience.
✨Brush Up on Python and SQL
Since proficiency in Python and SQL is essential, take some time to review key concepts and be prepared to demonstrate your coding skills. You might be asked to solve a problem or explain how you would approach a specific task using these languages.
✨Communicate Clearly and Confidently
Excellent communication skills are crucial for this role. Practice explaining complex quantitative concepts in simple terms. This will not only help you during the interview but also show that you can effectively collaborate with non-technical stakeholders.
✨Research the Company and Its Culture
Familiarise yourself with the company’s values and recent developments in the financial services sector. Understanding their approach to model risk management will allow you to tailor your answers and demonstrate your genuine interest in the role.
