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For Companies At a Glance
- Tasks: Lead model risk management and mentor a dynamic team in the Interest Rates sector.
- Company: A top financial institution in Greater London with a strong reputation.
- Benefits: Competitive salary, career advancement, and opportunities for professional growth.
- Why this job: Make a significant impact in model risk while developing your leadership skills.
- Qualifications: 5+ years in quantitative roles, strong coding skills in C/C++ or Python.
- Other info: Join a collaborative environment focused on innovation and excellence.
The predicted salary is between 72000 - 108000 £ per year.
A leading financial institution in Greater London is seeking a Quant Model Risk Vice President to oversee model risk management in their Interest Rates team. The role involves conducting model reviews, guiding model usage, and developing benchmarks.
The ideal candidate should have:
- Over 5 years of experience in a quantitative role
- Excellent skills in probability and statistics
- Coding abilities in C/C++ or Python
This position includes managerial responsibilities for team development and mentoring.
Quant Model Risk VP – Rates: Lead, Validate & Mentor in London employer: J.P. Morgan
Contact Detail:
J.P. Morgan Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quant Model Risk VP – Rates: Lead, Validate & Mentor in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the finance world, especially those in model risk or quantitative roles. A friendly chat can lead to insider info about job openings that aren't even advertised yet.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your best work in probability, statistics, and coding. Whether it's a project in Python or a model you've developed, having tangible examples can really impress during interviews.
✨Tip Number 3
Practice makes perfect! Brush up on your interview skills by doing mock interviews with friends or mentors. Focus on explaining complex concepts clearly, as you'll need to demonstrate your expertise in model risk management.
✨Tip Number 4
Don't forget to apply through our website! We have loads of opportunities waiting for you, and applying directly can sometimes give you an edge. Plus, it shows you're genuinely interested in joining our team!
We think you need these skills to ace Quant Model Risk VP – Rates: Lead, Validate & Mentor in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in quantitative roles, especially in model risk management. We want to see how your skills in probability, statistics, and coding in C/C++ or Python align with what we're looking for.
Showcase Your Leadership Skills: Since this role involves mentoring and team development, don’t forget to include examples of your managerial experience. We love to see how you've guided others in your previous roles!
Be Clear and Concise: When writing your application, keep it straightforward. We appreciate clarity, so make sure your points are easy to understand and directly related to the job description.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you’re considered for the role without any hiccups!
How to prepare for a job interview at J.P. Morgan
✨Know Your Models Inside Out
Make sure you’re well-versed in the models you’ve worked with. Be ready to discuss your experience with model reviews and how you've guided their usage. This will show your depth of knowledge and ability to oversee model risk management.
✨Brush Up on Your Coding Skills
Since coding in C/C++ or Python is crucial for this role, practice common coding problems and be prepared to demonstrate your skills. You might be asked to solve a problem on the spot, so being sharp in these languages will give you an edge.
✨Showcase Your Mentoring Experience
As this role involves managerial responsibilities, be ready to share examples of how you’ve mentored others in your previous positions. Highlight specific instances where your guidance led to team development or improved performance.
✨Prepare for Probability and Statistics Questions
Expect technical questions that test your understanding of probability and statistics. Brush up on key concepts and be prepared to explain how they apply to model risk management. This will demonstrate your analytical skills and suitability for the role.
