Model Validation 2nd Line of Defense Intermediate Analyst, Officer (Hybrid)

Whether you’re at the start of your career or looking to discover your next adventure, your story begins here. At Citi , you’ll have the opportunity to expand your skills and make a difference at one of the world’s most global banks. We’re fully committed to supporting your growth and development from the start with extensive on-the-job training and exposure to senior leaders, as well as more traditional learning. You’ll also have the chance to give back and make a positive impact where we live and work through volunteerism. Shape your Career with Citi Citi’s Risk Management organization oversees risk-taking activities and assesses risks and issues independently of the front line units. We establish and maintain the enterprise risk management framework that ensures the ability to consistently identify, measure, monitor, control and report material aggregate risks. We’re currently looking for a high caliber professional to join our team as Officer, Model Validation 2nd Line of Defense Intermediate Analyst - Hybrid (Internal Job Title: Model Validation 2nd Line of Defense Intermediate Analyst based in Mumbai, India. Being part of our team means that we’ll provide you with the resources to meet your unique needs, empower you to make healthy decision and manage your financial well-being to help plan for your future. For instance: Citi provides programs and services for your physical and mental well-being including access to telehealth options, health advocates, confidential counseling and more. Coverage varies by country. We believe all parents deserve time to adjust to parenthood and bond with the newest members of their families. That’s why in early 2020 we began rolling out our expanded Paid Parental Leave Policy to include Citi employees around the world. We empower our employees to manage their financial well-being and help them plan for the future. Citi provides access to an array of learning and development resources to help broaden and deepen your skills and knowledge as your career progresses. We have a variety of programs that help employees balance their work and life, including generous paid time off packages. We offer our employees resources and tools to volunteer in the communities in which they live and work. In 2019, Citi employee volunteers contributed more than 1 million volunteer hours around the world. This position is part of the Artificial Intelligence (AI) Review and Challenge Group within Citi’s Model Risk Management organization. This Team is responsible for review / validation of all AI non-models at Citi across markets, lines of business and functions; and also across the spectrum of AI sub-fields: Generative AI, Natural Language Processing, Computer Vision, Recommender systems, Anomaly detection etc. In this role, you’re expected to: Key responsibility will be to perform independent review and conduct effective challenge across the lifecycle of Artificial Intelligence (AI) / Machine Learning (ML) non-model objects Ensure adherence to applicable policies, procedure, templates, and testing guidance to manage the risk of all aspects of the AI/ML non-model objects Drive constructive engagements with key stakeholders such as AI/ML Sponsors / Developers, MRM Governance, AI-CoE, Internal Audit, and regulators regarding AI/ML related matters Support in satisfying the requirements for all internal / external regulatory exams Develop, enhance, and validate the methods of measuring and analyzing risk, for all risk types including market, credit and operational Support the design, development, delivery and maintenance of best-in-class Risk programs, policies and practices for Risk Management Contribute to strategic, cross-functional initiatives within the model risk management organization Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency. As a successful candidate, you’d ideally have the following skills and exposure: Advanced degree (Master’s and above) is required in the fields of mathematics, statistics, computer science, engineering, Data Science, AI/ML, etc. 4+ years’ analytics experience in financial services or related industries with minimum 3 years in Artificial Intelligence (AI) / Generative AI / Machine Learning (ML) area In-depth technical knowledge of common AI/ML techniques Clear and concise written and oral communication skills Self-motivated and detail oriented Demonstrated project management and organizational skills and capability to handle multiple projects at one time Strong stake-holder management skills Working at Citi is far more than just a job. A career with us means joining a family of more than 230,000 dedicated people from around the globe. At Citi, you’ll have the opportunity to grow your career, give back to your community and make a real impact. Take the next step in your career, apply for this role at Citi today ------------------------------------------------------ Job Family Group: Risk Management ------------------------------------------------------ Job Family: Model Validation ------------------------------------------------------ Time Type: ------------------------------------------------------ Most Relevant Skills Analytical Thinking, Business Acumen, Credible Challenge, Data Analysis, Governance, Policy and Procedure, Policy and Regulation, Risk Controls and Monitors, Risk Identification and Assessment, Statistics. ------------------------------------------------------ Other Relevant Skills For complementary skills, please see above and/or contact the recruiter. ------------------------------------------------------ Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. 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