Model Risk AI & Automation Lead- Trading Models - Executive Director

Lead a high‑impact automation and artificial intelligence transformation in trading model risk. You will design and build a modern suite of tools that streamline model review, documentation, and ongoing performance monitoring. By integrating with complex derivatives models and existing workflow applications, we increase speed and clarity for model risk stakeholders. You will partner with a cross‑line‑of‑business AI team to drive innovation, assess risks and opportunities, and elevate our capabilities. Join us to shape the future of how trading model risk is managed at scale.

As a Model Risk AI & Automation Lead - Trading Models in Model Risk and Governance Trading team, you drive the automation agenda across model risk processes to improve efficiency, consistency, and transparency for our stakeholders. You design and develop tools leveraging the latest artificial intelligence capabilities and integrate them with complex derivatives models, ongoing performance monitoring, and workflow applications. You collaborate with the cross‑line‑of‑business MRGR AI team to advance innovation, advise on risks and opportunities, and design training programs that support this transformation.

Job responsibilities

• Drive the team’s automation agenda to deliver greater efficiency, consistency, and scalability in model risk management processes.
• Architect, develop, and deploy tools and solutions that automate key model risk workflows, including model review, documentation, and ongoing performance monitoring.
• Automate independent testing capabilities, leveraging the team’s benchmarking library.
• Collaborate with the cross‑line‑of‑business MRGR AI team on cross‑LOB projects.
• Ensure all artificial intelligence and automation solutions comply with internal governance standards and external regulatory requirements.
• Provide training to develop the team’s technical and domain expertise in artificial intelligence and automation.

Required qualifications, capabilities, and skills

• Extensive quantitative development experience in a front office environment.
• PhD or Master’s degree in a quantitative field such as artificial intelligence, mathematics, physics, engineering, computer science, or finance.
• Proven track record of developing and implementing derivatives pricing models within financial services.
• Proven track record of designing, developing, and deploying automation solutions.
• Risk and control mindset, with the ability to critically assess business processes and identify opportunities for automation.
• Strong project management and organizational skills, with the ability to work in a fast‑paced and results‑driven environment.
• Strong communication skills.

Preferred qualifications, capabilities, and skills

• Experience with derivatives models, with a background in model review or front office quantitative analysis

J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world’s most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives.
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. Visit our FAQs for more information about requesting an accommodation.