At a Glance
- Tasks: Transform complex credit data into actionable insights that drive investment decisions.
- Company: Join a high-impact Credit Risk team at a leading financial institution.
- Benefits: Competitive salary, professional development, and opportunities for career advancement.
- Other info: Collaborate with cross-functional teams and leverage AI tools for innovative solutions.
- Why this job: Make a real impact by bridging finance and technology in a dynamic environment.
- Qualifications: Experience in credit risk or quantitative finance with strong Python skills.
The predicted salary is between 80000 - 120000 € 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.
- 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.
- 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 employer: Jpmorgan Chase & Co.
As a leading employer in the financial sector, we offer a dynamic work environment where innovation meets collaboration. Our Credit Risk team thrives on turning complex structured credit into actionable insights, providing employees with opportunities for professional growth and development through hands-on experience with cutting-edge technology like Python and AI. Located in a vibrant city, we foster a culture of teamwork and inclusivity, ensuring that every team member's contributions are valued and impactful.
StudySmarter Expert Advice🤫
We think this is how you could land Quantitative Credit Vice President – Structured Products
✨Network Like a Pro
Get out there and connect with folks in the industry! Attend events, webinars, or even casual meet-ups. The more people you know, the better your chances of landing that dream role.
✨Show Off Your Skills
Don’t just talk about your experience; demonstrate it! Create a portfolio showcasing your analytical solutions or any Python projects you've worked on. This will give potential employers a taste of what you can bring to the table.
✨Ace the Interview
Prepare for those tricky interview questions by practising your responses. Focus on how your structured finance expertise can solve real business problems. Remember, confidence is key!
✨Apply Through Our Website
Make sure to apply directly through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Quantitative Credit Vice President – Structured Products
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 turned complex credit analysis into actionable insights in your previous roles. Use specific examples that demonstrate your skills in this area.
Demonstrate Your Technical Skills:Since this role involves using Python and automation, don’t shy away from showcasing your programming skills. We love seeing practical applications of your technical expertise, so include any relevant projects or tools you've developed that relate to credit analytics.
Communicate Clearly:Your ability to communicate complex ideas simply is key for us. When writing your application, aim for clarity and conciseness. Use straightforward language to explain your insights and how they’ve influenced investment decisions in the past.
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 Jpmorgan Chase & Co.
✨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 how these products work and their implications for credit risk. This will show that you can turn complex concepts into clear insights.
✨Showcase Your Python Skills
Since this role requires strong Python programming skills, prepare to demonstrate your proficiency. Bring examples of past projects where you've used Python for modelling or automation. If possible, be ready to discuss how you’ve built analytical solutions that address business challenges.
✨Communicate Clearly
You’ll need to communicate complex credit risks in a way that’s easy for stakeholders to understand. Practice explaining your analyses and insights succinctly. Use examples from your experience to illustrate how your insights have influenced investment decisions.
✨Collaborate and Influence
This role involves working with cross-functional teams, so be prepared to discuss your collaboration experiences. Think of specific instances where you’ve partnered with technology teams or influenced strategic analytics development. Highlight your ability to drive initiatives from problem framing to solution delivery.
