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- Tasks: Analyse complex pricing models and enhance model risk governance.
- Company: Join a leading team in model risk management across global financial hubs.
- Benefits: Gain exposure to diverse business areas and critical decision-making processes.
- Why this job: Make a significant impact while collaborating with top professionals in finance.
- Qualifications: Strong analytical skills and proficiency in C/C++ and Python required.
- Other info: Dynamic environment with opportunities for innovation and career growth.
The predicted salary is between 36000 - 60000 Ā£ 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 decisionāmaking 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.
- 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 problemāsolving abilities.
- MSc or equivalent in a relevant field.
- Proficiency in C/C++ programming and Python.
- Inquisitive nature with excellent communication skills.
- Teamworkāoriented mindset.
- Experience with credit derivatives.
Quant Model Risk Analyst/Associate in London employer: Jpmorgan Chase & Co.
Contact Detail:
Jpmorgan Chase & Co. Recruiting Team
StudySmarter Expert Advice š¤«
We think this is how you could land Quant Model Risk Analyst/Associate in London
āØTip Number 1
Network like a pro! Reach out to professionals in the model risk management field on LinkedIn or at industry events. We canāt stress enough how valuable personal connections can be in landing that dream job.
āØTip Number 2
Prepare for interviews by brushing up on your technical skills and understanding of quantitative models. We recommend doing mock interviews with friends or using online platforms to get comfortable with common questions.
āØTip Number 3
Showcase your projects! If youāve worked on relevant projects or have experience with C/C++ and Python, make sure to discuss these during interviews. We want to see your hands-on experience and problem-solving abilities in action.
āØTip Number 4
Donāt forget to apply through our website! Itās the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Quant Model Risk Analyst/Associate in London
Some tips for your application š«”
Tailor Your CV: Make sure your CV is tailored to the Quant Model Risk Analyst/Associate role. 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 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. Be sure to mention any experience you have with credit derivatives or quantitative models.
Showcase Your Analytical Skills: In your application, donāt forget to showcase your analytical and problem-solving abilities. Provide examples of how you've tackled complex problems in the past, especially those related to model risk or quantitative analysis. We love seeing real-world applications of your skills!
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 youāre considered for the role. Plus, itās super easy to do!
How to prepare for a job interview at Jpmorgan Chase & Co.
āØKnow 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.
āØShowcase 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.
āØBrush 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.
āØEmphasise Teamwork and Communication
Given the collaborative nature of the role, highlight your teamwork-oriented mindset and excellent communication skills. Prepare examples of how you've worked effectively with others, particularly in high-pressure situations. This will reassure the interviewers that you can liaise well with model developers and trading desks.
