Model Risk AI & Automation Lead- Trading Models Executive Director

Lead a highimpact 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 crosslineofbusiness 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 crosslineofbusiness MRGR AI team to advance innovation advise on risks and opportunities and design training programs that support this transformation.

Job responsibilities

• Drive the teams 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 teams benchmarking library.
• Collaborate with the crosslineofbusiness MRGR AI team on crossLOB projects.
• Ensure all artificial intelligence and automation solutions comply with internal governance standards and external regulatory requirements.
• Provide training to develop the teams 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 Masters 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 fastpaced and resultsdriven environment.
• Strong communication skills.

Preferred qualifications capabilities and skills

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