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

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