Quant Model Risk Associate - Rates in London

Quant Model Risk Associate - Rates in London

London Full-Time 60000 - 80000 € / year (est.) No home office possible
JPMorganChase

At a Glance

  • Tasks: Join our Rates team to assess and mitigate model risk in complex financial models.
  • Company: Dynamic financial firm focused on innovative model risk management.
  • Benefits: Competitive salary, professional development, and exposure to diverse business areas.
  • Other info: Collaborative environment with opportunities for career advancement.
  • Why this job: Make a real impact by ensuring the integrity of critical financial models.
  • Qualifications: MSc or PhD in a quantitative discipline with strong analytical skills.

The predicted salary is between 60000 - 80000 € per year.

We are looking for a new member to join our Rates team in the Model Risk Governance and Review Group which is responsible for end-to-end model risk management across the firm. As a Quant Model Risk Associate in our Model Risk Governance and Review team, you will assess and help mitigate the model risk of complex models used in the context of valuation, risk measurement, the calculation of capital, and more broadly for decision-making purposes. Additionally, you will have an opportunity for exposure to a variety of business and functional areas as well as work closely with model developers and users.

Job responsibilities:

  • Carries out model reviews: analyze conceptual soundness of complex pricing models, engines, and reserve methodologies; assess model behavior and suitability of pricing models/engines to particular products/structures.
  • Provides guidance on model usage and acts as first point of contact for the business on all new models and changes to existing models.
  • Develops and implements alternative model benchmarks and compares the outcome of various models; designs model performance metrics.
  • Liaises with model developers, Risk and Valuation Control Groups and provides guidance on model risk.
  • Evaluates model performance on a regular basis.

Required qualifications, capabilities, and skills:

  • Excellence in probability theory, stochastic processes, statistics, partial differential equations, and numerical analysis.
  • MSc, PhD or equivalent in a quantitative discipline.
  • Inquisitive nature, ability to ask right questions and escalate issues.
  • Excellent communication skills (written and verbal).
  • Good understanding of option pricing theory (i.e. quantitative models for pricing and hedging derivatives).
  • Good coding skills, for example in C/C++ or Python.

Preferred qualifications, capabilities, and skills:

  • Experience with Rates derivatives.
  • Experience in a FO or model risk quantitative role.

Quant Model Risk Associate - Rates in London employer: JPMorganChase

Join our dynamic Rates team as a Quant Model Risk Associate, where you will engage in meaningful work that directly impacts decision-making across the firm. We pride ourselves on fostering a collaborative and innovative work culture, offering extensive opportunities for professional growth and development. Located in a vibrant city, we provide a supportive environment that encourages continuous learning and the chance to work alongside industry experts.

JPMorganChase

Contact Detail:

JPMorganChase Recruiting Team

StudySmarter Expert Advice🤫

We think this is how you could land Quant Model Risk Associate - Rates in London

Tip Number 1

Network like a pro! Reach out to folks in the industry, especially those already working in model risk or rates. A friendly chat can open doors and give you insights that job descriptions just can't.

Tip Number 2

Prepare for interviews by brushing up on your technical skills. Be ready to discuss probability theory and stochastic processes, and maybe even solve a few problems on the spot. We want to see your thought process!

Tip Number 3

Show off your coding chops! If you’ve got experience with C/C++ or Python, make sure to highlight it during conversations. We love seeing candidates who can bridge the gap between theory and practical application.

Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our team.

We think you need these skills to ace Quant Model Risk Associate - Rates in London

Probability Theory
Stochastic Processes
Statistics
Partial Differential Equations
Numerical Analysis
Model Risk Management
Model Review

Some tips for your application 🫡

Tailor Your CV:Make sure your CV reflects the skills and experiences that match the job description. Highlight your expertise in probability theory, statistics, and any relevant coding skills. We want to see how you fit into our Rates team!

Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're interested in the Quant Model Risk Associate role and how your background makes you a great fit. Don’t forget to mention your inquisitive nature and communication skills!

Showcase Relevant Projects:If you've worked on projects related to model risk or quantitative analysis, make sure to include them. We love seeing practical examples of your work, especially if they involve complex pricing models or coding in C/C++ or Python.

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’re considered for the role. Plus, it shows you’re keen on joining our team!

How to prepare for a job interview at JPMorganChase

Know Your Models Inside Out

Make sure you have a solid understanding of the complex pricing models and methodologies mentioned in the job description. Brush up on your knowledge of probability theory, stochastic processes, and option pricing theory. Being able to discuss these concepts confidently will show that you're well-prepared and serious about the role.

Prepare for Technical Questions

Expect to face technical questions related to model risk management and quantitative analysis. Practice explaining your thought process when evaluating model performance or developing benchmarks. Use examples from your past experiences to illustrate your skills and how you approach problem-solving.

Show Off Your Coding Skills

Since coding is a key part of this role, be ready to demonstrate your proficiency in languages like C/C++ or Python. You might be asked to solve a coding challenge or explain how you've used coding in previous projects. Brush up on relevant libraries and frameworks that could be useful in model development.

Ask Insightful Questions

Interviews are a two-way street, so prepare some thoughtful questions to ask your interviewers. Inquire about the team's current projects, challenges they face with model risk, or how they collaborate with model developers. This shows your genuine interest in the role and helps you assess if it's the right fit for you.