Credit Risk Innovation Lead Associate - Corporate & Treasury Chief Investment Office

J.P. Morgan; City Of London; On-site; GBP 150,000 - 200,000; Full time

Job summary

A leading financial institution is seeking a Credit Risk Innovation Lead Associate to drive product development in risk analytics. This role focuses on integrating advanced risk models and AI into banking products, fostering collaboration across teams, and championing innovation. The ideal candidate will have significant experience in product management and a strong technical background, particularly in Python and cloud technologies, with a focus on regulatory compliance and agile methodologies.

Qualifications

• Significant experience in product management or product development, ideally in risk analytics or banking technology.
• Proficiency in Python/PySpark, cloud platforms, data visualization, and front-end/back-end development.
• Solid understanding of credit risk, banking products, portfolio analytics, and regulatory requirements.

Responsibilities

• Drive product development for credit risk analytics from ideation to launch and iteration.
• Build scalable platforms using Python/PySpark, cloud technologies, and modern front-end frameworks.
• Integrate advanced risk models and analytics into banking products and portfolios.

Skills

Product management

Python/PySpark

Data visualization

Agile methodologies

Strong communication skills

Education

Bachelor's degree in a quantitative or technical field

Tools

Cloud platforms

Front-end/back-end development

Job description

Are you passionate about building products that shape the future of risk management? Join our Credit Risk Innovation team and help redefine how banking approaches credit risk analytics and portfolio management. You’ll work at the intersection of product development, agile delivery, and technology, driving impactful solutions for our business and customers. This is your opportunity to make a real difference in a dynamic, forward-thinking environment. Be part of a team that values creativity, collaboration, and continuous improvement.

As a Credit Risk Innovation Lead Associate in Corporate & Treasury Chief Investment Office team, you will be at the center of keeping our firm strong and resilient. You will help us grow responsibly by anticipating new and emerging risks. Using your expertise in data, analytics, and AI, you will modernize our approach to solving real-world challenges that impact our company, customers, and communities. We value thinking outside the box, challenging the status quo, and striving to be best-in-class. Together, we create solutions that matter.

Job Responsibilities

• Drive product development for credit risk analytics from ideation to launch and iteration.
• Build scalable platforms using Python/PySpark, cloud technologies, and modern front-end frameworks.
• Integrate advanced risk models and analytics into banking products and portfolios.
• Collaborate with risk, product, and technology teams across geographies.
• Leverage AI/ML and automation to enhance credit risk review and monitoring.
• Develop product proposals, manage backlogs, and communicate progress to stakeholders.
• Apply agile methodologies in cross-functional squads and iterate quickly.
• Ensure solutions are data-driven, scalable, and regulatory-compliant.
• Translate technical concepts for business stakeholders.
• Champion innovation and continuous improvement.
• Prioritize features and drive adoption of new solutions.

Required Qualifications, Capabilities, and Skills

• Significant experience in product management or product development, ideally in risk analytics or banking technology.
• Proficiency in Python/PySpark, cloud platforms, data visualization, and front-end/back-end development.
• Solid understanding of credit risk, banking products, portfolio analytics, and regulatory requirements.
• Hands-on experience with agile frameworks, sprint planning, and backlog management.
• Ability to break down complex business challenges and deliver practical solutions.
• Strong communication skills for cross-team collaboration.
• Bachelor’s degree in a quantitative or technical field.

Preferred Qualifications, Capabilities, and Skills

• Experience in product development, data science, or credit risk analytics.
• Practical experience with Generative AI, large language models, and automation in financial services.
• Knowledge of Retrieval-Augmented Generation architectures and enterprise AI applications.
• Experience implementing and integrating AI/ML models with cloud platforms.
• Understanding of MLOps practices for deploying and maintaining AI solutions.
• Strong UI/UX and dashboarding skills.
• Proficiency with agile tools and project management methodologies.