At a Glance
- Tasks: Transform complex credit data into actionable insights that drive investment decisions.
- Company: Join a leading financial institution with a focus on innovation and collaboration.
- Benefits: Competitive salary, comprehensive benefits, and opportunities for professional growth.
- Other info: Dynamic role with opportunities to work on cutting-edge analytics and AI solutions.
- Why this job: Make a real impact by bridging finance and technology in a high-stakes environment.
- Qualifications: Experience in credit risk or structured finance, strong Python skills required.
The predicted salary is between 80000 - 100000 € per year.
Turn complex structured credit into clear insights that shape investment decisions. Join a high-impact Credit Risk team where your analysis directly informs senior stakeholders across Treasury and Chief Investment Office. You will combine structured finance expertise with hands-on analytical execution, building scalable solutions that enhance risk and investment decision-making. This role offers the opportunity to bridge credit insight and technology to deliver real business impact.
As a Quantitative Credit Vice President – Structured Products in Credit Risk within Corporates, Treasury and Chief Investment Office, you deliver deep structured credit insights while building scalable analytical solutions. You will combine expertise in structured finance with hands-on technical execution, using modern tools such as Python and automation. We work together to translate complex credit risks into clear, actionable insights that support investment and risk decisions. You will partner with technology teams to scale solutions and influence strategic analytics development.
Job responsibilities
- Conduct in-depth portfolio and deal reviews, assessing collateral, structures, credit drivers, and loss scenarios.
- Translate credit analysis into clear, actionable insights to inform investment and risk decisions.
- Support senior management with asset-class-specific analyses and prepare materials for senior risk forums.
- Prototype and build analytical solutions using Python and automation frameworks.
- Manage the full analytics lifecycle, including problem definition, prototyping, validation, and scaling.
- Leverage AI-assisted tools to accelerate delivery while maintaining quality and governance standards.
- Develop and validate credit loss models including probability of default, loss given default, and exposure at default.
- Design scenario analysis, stress testing, and sensitivity frameworks to assess tail risks.
- Collaborate with cross-functional teams across investment, risk, and technology.
- Drive initiatives end-to-end from problem framing to solution delivery.
- Communicate insights clearly to ensure alignment across stakeholders.
Required qualifications, capabilities, and skills
- Experience in credit risk, structured finance, or quantitative finance with expertise in securitized products such as CLO, RMBS, CMBS, or ABS.
- Strong knowledge of deal documentation, deal structures, and credit underwriting.
- Practical knowledge of credit loss modeling and portfolio risk frameworks.
- Strong Python programming skills for modeling, data analysis, and automation.
- Ability to develop analytical solutions to address business challenges.
- Strong communication and collaboration skills to work with cross-functional teams.
Preferred qualifications, capabilities, and skills
- Experience with solution architecture for analytical or risk platforms and familiarity with governance and control frameworks for model risk.
- Hands-on experience applying AI or machine learning methods to credit analytics and decision support.
- Experience working with technology teams to scale models and tools into production.
- Knowledge of regulatory stress testing and reserve provisioning frameworks such as CCAR and CECL.
Quantitative Credit Vice President – Structured Products in London employer: JPMorganChase
As a leading employer in the financial services sector, we offer a dynamic work environment where innovation and collaboration thrive. Our Credit Risk team is dedicated to fostering employee growth through continuous learning opportunities and hands-on experience with cutting-edge technologies like Python and AI. Located in a vibrant city, we provide a supportive culture that values diverse perspectives and encourages impactful contributions to investment decisions.
StudySmarter Expert Advice🤫
We think this is how you could land Quantitative Credit Vice President – Structured Products in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend events, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Prepare for those interviews by practising your storytelling skills. Be ready to share how your experience in structured finance and credit risk can bring value to the team. We want to hear about your successes and how you tackled challenges!
✨Tip Number 3
Show off your technical skills! If you’ve got Python programming chops, be sure to highlight them during interviews. Discuss any analytical solutions you've built and how they’ve made an impact in your previous roles.
✨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 and making a difference.
We think you need these skills to ace Quantitative Credit Vice President – Structured Products in London
Some tips for your application 🫡
Show Your Structured Finance Expertise:Make sure to highlight your experience in structured finance and credit risk. We want to see how you've tackled complex credit scenarios and turned them into actionable insights. Use specific examples that demonstrate your analytical skills and understanding of securitized products.
Be Clear and Concise:When writing your application, clarity is key! We appreciate straightforward communication, so avoid jargon and keep your language simple. Make it easy for us to understand your thought process and how you can contribute to our team.
Demonstrate Your Technical Skills:Since this role involves a lot of hands-on technical execution, don’t forget to showcase your Python programming skills. Share any projects or solutions you've built using modern tools and automation frameworks. We love seeing practical applications of your knowledge!
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 gives you a chance to explore more about what we do at StudySmarter!
How to prepare for a job interview at JPMorganChase
✨Know Your Structured Products
Make sure you brush up on your knowledge of structured finance, especially securitised products like CLOs, RMBS, and CMBS. Be ready to discuss specific examples from your experience that demonstrate your understanding of deal structures and credit underwriting.
✨Showcase Your Python Skills
Since this role requires strong Python programming skills, prepare to discuss your past projects where you've used Python for modelling or data analysis. If possible, bring along a portfolio or examples of your work to showcase your technical abilities.
✨Communicate Clearly
You’ll need to translate complex credit risks into actionable insights, so practice explaining your thought process clearly and concisely. Use examples from your previous roles to illustrate how you’ve communicated insights to senior stakeholders effectively.
✨Collaborate and Influence
This position involves working with cross-functional teams, so be prepared to discuss how you've successfully collaborated in the past. Think of instances where you influenced decision-making or drove initiatives from start to finish, and be ready to share those stories.
