The AIM Fraud Operations Analytics team is seeking an experienced, innovative, and people-oriented Vice President to lead our Fraud GenAI team. As a senior leader and subject matter expert in data science and generative AI, you will be responsible for building and leading a high-performing team of data scientists while driving the design, development, and deployment of cutting-edge data science and GenAI-based solutions. This role focuses on transforming fraud operations processes through advanced AI while fostering team growth, cross-functional collaboration, and operational excellence. **Responsibilities:** **Leadership & People Management** **?** + Lead, mentor, and develop a team of data scientists, fostering a culture of innovation, experimentation, and continuous learning. + Provide technical and career guidance, conduct performance reviews, and support talent development and succession planning. + Build and scale a high-performing Fraud Analytics GenAI team, including hiring, onboarding, and performance management. **Project & Delivery Leadership** + Lead the end-to-end design and implementation of generative AI use cases, from ideation to production. + Oversee the building and tuning of LLM-based applications using platforms such as Vertex, GPT, Hugging Face, etc. + Drive robust prompt engineering strategies and the creation of reusable prompt templates. + Integrate generative AI with enterprise applications using APIs, knowledge graphs, vector databases (e.g., PG Vector, Pinecone, FAISS, Chroma), and orchestration tools. + Collaborate with Technology, Business, and other stakeholders to identify opportunities, prioritize initiatives, and deliver high-impact solutions. + Manage end-to-end project delivery, ensuring on-time, high-quality outcomes within regulatory and risk frameworks. **Technical & Domain Expertise?** + Responsible for model development, validation, and testing of fraud detection models, including statistical analysis, data validation,



and model performance evaluation. + Ensure compliance with regulatory requirements, MRM (Model Risk Management) standards, and industry best practices in fraud detection and GenAI. + Document model development artifacts for MRM approvals and governance purposes + Stay current with GenAI trends, research, and advancements in fraud prevention. + Apply relevant innovations to fraud and risk domain projects (specialization in fraud or risk domain preferred). **Stakeholder Management** + Partner effectively with senior business leaders, technology teams, risk, compliance, and other stakeholders. + Present complex technical concepts and project updates to both technical and non-technical audiences. + Influence decision-making and secure buy-in for GenAI and data science initiatives across the organization. **Qualifications:** + 9+ years of hands-on experience in data science or AI/ML roles, with at least 3+ years in a people leadership or team lead capacity. + Proven track record of designing and developing data science / GenAI-based solutions in production environments. + Strong programming skills in Python and familiarity with libraries such as Transformers, LangChain, LlamaIndex, PyTorch, or TensorFlow. + Working knowledge of retrieval-augmented generation (RAG) pipelines and vector databases. + Understanding of MLOps / LLM Ops, model evaluation, prompt tuning, and deployment pipelines. + Familiarity with regulatory requirements and guidelines related to risk and model validation. + Strong leadership, project management,



and stakeholder management skills with the ability to influence and partner with both technical and non-technical stakeholders. + Excellent communication and presentation skills. **Education:** + Bachelors/University degree, Master's degree in Statistics / Technology / Economics preferred This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required. ------------------------------------------------------ **Job Family Group:** Decision Management ------------------------------------------------------ **Job Family:** Specialized Analytics (Data Science/Computational Statistics) ------------------------------------------------------ **Time Type:** Full time ------------------------------------------------------ **Most Relevant Skills** Please see the requirements listed above. ------------------------------------------------------ **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._ _If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career prospect review_ _Accessibility at Citi (https://www.citigroup.com/citi/accessibility/application-accessibility.htm)_ _._ _View Citi's_ _EEO Policy Statement (https://www.citigroup.com/global/eeo-aa-policy)_ _and the_ _Know Your Rights (https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf)_ _poster._ Citi is an equal opportunity and affirmative action employer. Minority/Female/Veteran/Individuals with Disabilities/Sexual Orientation/Gender Identity.

📌 Vice President - Data Science And Gen AI (Pune)
🏢 Citigroup
📍 Pune