Model Validation 2nd LOD Sr. Analyst

Role Overview: You will be part of the Artificial Intelligence (AI) Review and Challenge Group in Citis Model Risk Management organization. Your main responsibility will involve conducting independent reviews and effective challenges throughout the lifecycle of Artificial Intelligence (AI) / Machine Learning (ML) non-model objects. You will be required to ensure compliance with relevant policies, procedures, templates, and testing guidance to mitigate risks associated with AI/ML non-model objects. Additionally, you will engage with key stakeholders, support regulatory exams, develop risk measurement methods, and contribute to enhancing Risk programs within the organization. Key Responsibilities: - Perform independent review and conduct effective challenge for AI/ML non-model objects - Ensure adherence to policies, procedures, templates, and testing guidance - Engage with key stakeholders like AI/ML Sponsors / Developers, MRM Governance, AI-CoE, Internal Audit, and regulators - Support in meeting internal / external regulatory exam requirements - Develop, enhance, and validate risk measurement and analysis methods for various risk types - Support in designing, delivering, and maintaining best-in-class Risk programs, policies, and practices - Contribute to strategic cross-functional initiatives within model risk management organization Qualifications: - Advanced degree (Masters and above) in mathematics, statistics, computer science, engineering, Data Science, AI/ML, etc. is required - Minimum of 6 years of analytics experience in financial services or related industries with at least 2 years in Artificial Intelligence (AI) / Machine Learning (ML) - Proficiency in common AI/ML techniques, Generative AI, and Natural Language Processing - Strong written and verbal communication skills - Self-motivated, detail-oriented, with demonstrated project management and organizational abilities - Capable of handling multiple projects simultaneously - Effective stakeholder management skills - Attention to detail and ability to make informed judgments based on information Company Details: The job description does not provide additional details about the company. Education: - Advanced degree (Masters and above) in mathematics, statistics, computer science, engineering, Data Science, AI/ML, etc. is required,