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- Tasks: Analyse complex pricing models and develop performance metrics to mitigate model risks.
- Company: Leading global financial services firm with a focus on innovation.
- Benefits: Competitive salary, dynamic work environment, and opportunities for professional growth.
- Why this job: Join a team that values collaboration and offers real impact in model governance.
- Qualifications: Strong background in probability theory, quantitative models, and programming in C/C++ and Python.
- Other info: Exciting career opportunities in a fast-paced financial sector.
The predicted salary is between 43200 - 72000 £ per year.
A leading global financial services firm is seeking a Model Risk Associate to join their team in London. This role involves analyzing complex pricing models, developing performance metrics, and collaborating with various teams to mitigate model risks.
Ideal candidates should have a strong background in probability theory, quantitative models, and programming skills in C/C++ and Python. The position offers the opportunity to work in a dynamic environment with a focus on model governance and review.
Model Risk VP — Quantitative Governance & Analytics in London employer: JPMorganChase
Contact Detail:
JPMorganChase Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Model Risk VP — Quantitative Governance & Analytics in London
✨Tip Number 1
Network like a pro! Reach out to professionals in the financial services sector, especially those working in model risk or quantitative roles. Use platforms like LinkedIn to connect and engage with them; you never know who might have a lead on your dream job!
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your work with pricing models and performance metrics. If you've got projects in C/C++ or Python, make sure to highlight them. This will give you an edge when discussing your experience during interviews.
✨Tip Number 3
Practice makes perfect! Brush up on your probability theory and quantitative models before interviews. Consider mock interviews with friends or use online resources to get comfortable discussing complex concepts clearly and confidently.
✨Tip Number 4
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 a better chance of getting noticed by hiring managers.
We think you need these skills to ace Model Risk VP — Quantitative Governance & Analytics in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with probability theory and quantitative models. We want to see how your skills in C/C++ and Python can shine through, so don’t hold back!
Craft a Compelling Cover Letter: Your cover letter is your chance to tell us why you’re the perfect fit for the Model Risk VP role. Share specific examples of how you've tackled model risks in the past and how you can contribute to our team.
Showcase Your Analytical Skills: In your application, demonstrate your analytical prowess. Discuss any complex pricing models you've worked on and the performance metrics you've developed. We love seeing real-world applications of your skills!
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 don’t miss out on any important updates from our team!
How to prepare for a job interview at JPMorganChase
✨Brush Up on Your Probability Theory
Make sure you have a solid understanding of probability theory and quantitative models. Review key concepts and be ready to discuss how they apply to model risk. This will show your depth of knowledge and help you stand out.
✨Show Off Your Programming Skills
Since programming in C/C++ and Python is crucial for this role, prepare to demonstrate your coding skills. You might be asked to solve a problem or explain your thought process while coding. Practise common algorithms and data structures to feel confident.
✨Understand Model Governance
Familiarise yourself with model governance frameworks and best practices. Be prepared to discuss how you would approach model validation and performance metrics. This shows that you’re not just technically skilled but also understand the importance of governance in financial services.
✨Prepare for Team Collaboration Questions
This role involves working with various teams, so expect questions about collaboration. Think of examples from your past experiences where you successfully worked in a team to mitigate risks or improve processes. Highlight your communication skills and adaptability.
