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- Tasks: Analyse complex pricing models and enhance model risk governance.
- Company: Join J.P. Morgan, a global leader in financial services.
- Benefits: Diverse work environment with opportunities for growth and development.
- Why this job: Make a real impact in model risk management and drive innovation.
- Qualifications: Strong analytical skills and proficiency in C/C++ and Python required.
- Other info: Collaborate with top professionals in a dynamic, inclusive team.
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 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.
J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world’s most prominent corporations, governments, wealthy individuals and institutional investors. We are an equal opportunity employer and place a high value on diversity and inclusion. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law.
Quant Model Risk Analyst/Associate employer: JPMorganChase
Contact Detail:
JPMorganChase 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 field on LinkedIn or at industry events. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Prepare for those interviews by brushing up on your technical skills. Be ready to discuss probability theory and option pricing theory, as well as showcase your coding prowess in C/C++ and Python.
✨Tip Number 3
Showcase your teamwork skills! During interviews, share examples of how you've collaborated with others to solve complex problems. This is key in a role where you'll liaise with various teams.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you're genuinely interested in joining our team at JPMorgan.
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 Quant Model Risk Analyst role. Highlight your experience with probability theory, statistics, and any relevant programming skills. We want to see how your background aligns with what we're looking for!
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. Keep it concise but impactful – we love a good story!
Showcase Your Analytical Skills: In your application, don’t forget to showcase your analytical and problem-solving abilities. Mention specific projects or experiences where you’ve tackled complex problems, especially in relation to quantitative models or derivatives.
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s straightforward and ensures your application goes directly to us. Plus, we love seeing candidates who take that extra step!
How to prepare for a job interview at JPMorganChase
✨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 can also apply it practically.
✨Showcase Your Analytical Skills
Prepare to demonstrate your analytical and problem-solving abilities during the interview. Think of specific examples from your past experiences where you've successfully tackled complex problems, especially those related to model risk management. This will help you stand out as a candidate who can think critically under pressure.
✨Brush Up on Programming Languages
Since proficiency in C/C++ and Python is crucial for this role, make sure you're comfortable discussing your programming experience. You might even want to prepare a small coding example or two that showcases your skills. This will not only highlight your technical abilities but also your readiness to tackle the practical aspects of the job.
✨Communicate Effectively
Given the collaborative nature of the role, strong communication skills are essential. Practice articulating your thoughts clearly and concisely, especially when discussing technical topics. Remember, it's not just about what you know, but how well you can convey that knowledge to others, including model developers and trading desks.
