Job
Description
What you’ll do Lead and conduct independent validations of AI/ML models(traditional and Generative AI) across multiple financial domains, including consumer and commercial credit risk, marketing, fraud, and AML. Ensure the accuracy, reliability, and compliance of models by overseeing and conducting thorough validations. Drive AI validation projects by conceptualizing, planning, and executing them to ensure their successful implementation and alignment with organizational goals. Engage with various departments to ensure cohesive strategy implementation, sharing insights, and fostering a collaborative work environment. Contribute expertise to the development of policies that guide AI practices and model risk management, ensuring regulatory compliance and ethical standards. Stay updated on the evolving regulatory landscape around AI and ML Mentor and develop team members, fostering a culture of collaboration and building a robust, knowledgeable team. Utilize Google Cloud Platform(GCP) to enhance efficiency by automating workflows and improving process integration. Contribute to the design and execution of model testing and monitoring processes. What experience you need 6+ years of model validation or Model Risk Management experience preferably within the banking and financial services domain, with a deep understanding of industry-specific requirements and challenges. Demonstrated expertise in AI techniques(Machine learning, natural language processing, deep learning) and their applications. Experience with ML libraries such as TensorFlow, Keras, PyTorch, Scikit- learn or equivalent required. Minimum of 1 year of experience in supervising projects and team members, demonstrating ability to successfully manage multiple projects and stakeholders simultaneously Foundational knowledge of Generative AI, with relevant coursework. Must stay updated on latest trends and regulations in this field. Advanced level programming in Python and SQL Strong interpersonal skills with the ability to lead teams, manage client relationships, and collaborate effectively with partners. Experience collaborating with partners, stakeholders and teams across multiple geographies and levels of the organization In-depth knowledge of regulations surrounding AI in the banking industry and practical experience in credit risk and fraud models. Ability to articulate complex concepts clearly and effectively to diverse stakeholders, ensuring understanding across various levels of technical proficiency. Master’s degree or higher in Statistics, Mathematics, Engineering, Economics, Data Science or other relevant discipline, demonstrating a high level of expertise and commitment to the field. What could set you apart Experience in developing, validating or implementing Gen AI models Prior regulatory modeling development experience including ECL, Stress testing, CECL/IFRS9 First hand experience on cloud based platforms including GCP & AWS Excellent communication and presentation skills Show more Show less
