Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Analyse complex pricing models and enhance model risk governance.
- Company: Join a leading team in model risk management with a global presence.
- Benefits: Competitive salary, dynamic work environment, and exposure to diverse business areas.
- Why this job: Make a real impact on critical decision-making processes in finance.
- Qualifications: Strong analytical skills and proficiency in C/C++ and Python required.
- Other info: Collaborate with top professionals and drive innovation in model risk controls.
The predicted salary is between 36000 - 60000 £ per year.
Are you ready to make a significant impact in the world of model risk management? At Model Risk Governance and Review Group (MRGR), we are at the forefront of assessing and mitigating model risks across the globe. With a presence in major financial hubs like New York, London, Mumbai, and Paris, our team collaborates with top professionals in Risk, Finance, and Model Development. This is your chance to work in a dynamic environment, gain exposure to various business areas, and contribute to critical decision‑making processes.
As a Model Risk Analyst/Associate in the Model Risk Governance and Review team, you will play a crucial role in reviewing credit derivatives models and enhancing model risk governance. You will collaborate with model developers, trading desks, and risk professionals to ensure the soundness and suitability of complex pricing models. Together, we will drive innovation and maintain robust model risk controls.
Job responsibilities:
- Analyze the conceptual soundness of complex pricing models and reserve methodologies.
- Develop and implement alternative model benchmarks and performance metrics.
- Liaise with model developers, trading desks, and risk professionals to provide guidance on model risk and usage.
- Maintain model risk control apparatus and serve as the first point of contact for the coverage area.
Required qualifications, capabilities, and skills:
- Excellence in probability theory, stochastic processes, statistics, and numerical analysis.
- Strong understanding of option pricing theory and quantitative models for derivatives.
- Experience with Monte Carlo and numerical methods.
- Strong analytical and problem‑solving abilities.
- MSc or equivalent in a relevant field.
- Proficiency in C/C++ programming and Python.
- Inquisitive nature with excellent communication skills.
- Teamwork‑oriented mindset.
Preferred qualifications, capabilities, and skills:
- Experience with credit derivatives.
Quant Model Risk Analyst/Associate employer: Jpmorgan Chase & Co.
Contact Detail:
Jpmorgan Chase & Co. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quant Model Risk Analyst/Associate
✨Tip Number 1
Network like a pro! Reach out to professionals in the model risk management field on LinkedIn or at industry events. We can’t stress enough how valuable personal connections can be in landing that dream job.
✨Tip Number 2
Prepare for interviews by brushing up on your technical skills and understanding of quantitative models. We recommend practising common interview questions related to probability theory and option pricing to show off your expertise.
✨Tip Number 3
Showcase your projects! If you’ve worked on relevant projects or have experience with C/C++ and Python, make sure to discuss these during interviews. We want to see how you’ve applied your skills in real-world scenarios.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. We’re always on the lookout for passionate candidates who are ready to make an impact in model risk governance.
We think you need these skills to ace Quant Model Risk Analyst/Associate
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the role of Quant Model Risk Analyst/Associate. Highlight your experience with probability theory, stochastic processes, and any relevant programming skills in C/C++ and Python. We want to see how your background aligns with our needs!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about model risk management and how your skills can contribute to our team. Be sure to mention your teamwork-oriented mindset and inquisitive nature, as these are key for us.
Showcase Relevant Experience: When detailing your experience, focus on projects or roles where you've analysed complex pricing models or worked with derivatives. We love seeing real-world applications of your skills, so don’t hold back on the specifics!
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It’s the best way for us to receive your application directly and ensures you’re considered for the role. Let’s get started on this journey together!
How to prepare for a job interview at Jpmorgan Chase & Co.
✨Know Your Models Inside Out
Make sure you have a solid grasp of the complex pricing models mentioned in the job description. Brush up on your knowledge of option pricing theory and quantitative models for derivatives. Being able to discuss these concepts confidently will show that you're not just familiar with the theory, but you can also apply it practically.
✨Showcase Your Analytical Skills
Prepare to demonstrate your analytical and problem-solving abilities during the interview. Think of examples from your past experiences where you've successfully tackled complex problems, especially those related to model risk or quantitative analysis. This will help the interviewers see how you approach challenges.
✨Brush Up on Programming Proficiency
Since proficiency in C/C++ and Python is crucial for this role, be ready to discuss your programming experience. You might even want to prepare for some technical questions or coding challenges. Practising coding problems related to Monte Carlo methods could give you an edge.
✨Communicate Effectively
Given the collaborative nature of the role, strong communication skills are essential. Practice explaining complex concepts in simple terms, as you may need to liaise with model developers and trading desks. Being able to convey your thoughts clearly will demonstrate your teamwork-oriented mindset.
