At a Glance
- Tasks: Transform complex credit data into clear insights that drive investment decisions.
- Company: Join a leading financial institution with a focus on innovation and collaboration.
- Benefits: Competitive salary, diverse work environment, and opportunities for professional growth.
- Other info: Diverse workplace committed to inclusion and equal opportunity.
- Why this job: Make a real impact by bridging credit insights and technology in a high-impact team.
- Qualifications: Experience in credit risk and strong Python skills are essential.
The predicted salary is between 80000 - 100000 £ per year.
Turn complex securitized 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 securitised credit 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 Credit Vice President - Securitized Products in Credit Risk within Corporates, Treasury and Chief Investment Office, you deliver deep 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, securitized products, or quantitative finance with expertise in 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.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs.
Credit Vice President - Securitized Products employer: JPMorganChase
As a Credit Vice President - Securitized Products, you will thrive in a dynamic and inclusive work environment that values your expertise and fosters collaboration across teams. Our commitment to employee growth is evident through continuous learning opportunities and the chance to influence strategic analytics development, all while working in a location that champions innovation and diversity. Join us to make a meaningful impact on investment decisions and risk management, leveraging cutting-edge technology and analytical solutions.
StudySmarter Expert Advice🤫
We think this is how you could land Credit Vice President - Securitized Products
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those who work in credit risk or securitized products. A friendly chat can lead to insider info about job openings and even referrals.
✨Tip Number 2
Show off your skills! If you’ve got experience with Python or credit loss modelling, create a portfolio showcasing your projects. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your knowledge of deal structures and credit underwriting. Be ready to discuss how you can translate complex credit risks into actionable insights that support investment decisions.
✨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 Credit Vice President - Securitized Products
Some tips for your application 🫡
Show Your Expertise:Make sure to highlight your experience in credit risk and securitized products. We want to see how your background aligns with the role, so don’t hold back on showcasing your knowledge of CLOs, RMBS, CMBS, or ABS.
Be Clear and Concise:When translating complex credit analysis into insights, clarity is key. Use straightforward language to demonstrate your ability to communicate effectively, just like you would in the role itself.
Demonstrate Technical Skills:Since this role involves hands-on analytical execution, make sure to mention your Python programming skills and any experience with automation. We’re keen to see how you can leverage modern tools to enhance decision-making.
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 this exciting opportunity in our Credit Risk team!
How to prepare for a job interview at JPMorganChase
✨Know Your Securitized Products
Make sure you brush up on your knowledge of securitized 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 have the expertise needed for the role.
✨Showcase Your Analytical Skills
Prepare to demonstrate your Python programming skills and how you've used them in past roles. Think of specific examples where you've built analytical solutions or models, and be ready to explain your thought process and the impact of your work.
✨Communicate Clearly
Since this role involves translating complex credit risks into actionable insights, practice explaining your analyses in a clear and concise manner. Use examples from your experience to illustrate how you've communicated insights to stakeholders in the past.
✨Collaborate and Influence
Be prepared to discuss how you've worked with cross-functional teams in previous roles. Highlight any experiences where you influenced strategic decisions or collaborated with technology teams to scale solutions, as this is key for the position.
