At a Glance
- Tasks: Transform complex credit data into clear 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 - 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: Jpmorgan Chase & Co.
Join a leading financial institution that values innovation and collaboration, where your role as a Quantitative Credit Vice President – Structured Products will directly impact investment decisions. Our dynamic work culture fosters professional growth through continuous learning opportunities and the use of cutting-edge technology, ensuring you are at the forefront of credit risk analysis. Located in a vibrant financial hub, we offer a supportive environment that encourages teamwork and the sharing of insights, making it an excellent place for those seeking meaningful and rewarding employment.
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 on LinkedIn. We all know that sometimes it’s not just what you know, but who you know that can help you land that dream job.
✨Tip Number 2
Prepare for those interviews by practising your technical skills and brushing up on your knowledge of structured finance. We recommend doing mock interviews with friends or using online platforms to get comfortable with the questions you might face.
✨Tip Number 3
Showcase your analytical prowess! Bring examples of your past work, especially any projects involving Python or credit loss models. We want to see how you’ve turned complex data into actionable insights that made a real impact.
✨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, 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 in London
Some tips for your application 🫡
Showcase Your Expertise:Make sure to highlight your experience in credit risk and structured finance. We want to see how your skills align with the role, especially your knowledge of securitized products like CLOs and RMBS.
Be Clear and Concise:When translating complex credit analysis into insights, keep it straightforward. We appreciate clarity, so avoid jargon where possible and focus on actionable insights that demonstrate your analytical prowess.
Demonstrate Technical Skills:Don’t forget to mention your Python programming skills! We’re keen on seeing how you’ve used modern tools for data analysis and automation in your previous roles. Show us your hands-on experience!
Tailor Your Application:Make your application personal by tailoring it to our job description. We love when candidates connect their experiences directly to what we’re looking for. And remember, apply through our website for the best chance!
How to prepare for a job interview at Jpmorgan Chase & Co.
✨Know Your Structured Products Inside Out
Make sure you brush up on your knowledge of structured finance, especially securitised products like CLOs, RMBS, and CMBS. Be ready to discuss specific deal structures and credit underwriting processes, as this will show your expertise and confidence in the field.
✨Showcase Your Analytical Skills
Prepare to demonstrate your Python programming skills by discussing past projects where you've built analytical solutions or models. Bring examples of how you've used automation frameworks to enhance decision-making, as this aligns perfectly with the role's requirements.
✨Communicate Clearly and Effectively
Practice explaining complex credit risks and insights in a straightforward manner. You’ll need to convey your findings to senior stakeholders, so focus on clarity and conciseness in your communication style during the interview.
✨Collaborate and Connect
Highlight your experience working with cross-functional teams. Be prepared to discuss how you've partnered with technology teams to scale solutions and influence analytics development, as collaboration is key in this role.
