Assistant Vice President - Data Science and Fraud Analytics

As a Specialized Analytics Senior Analyst at our company, you will be responsible for applying your in-depth disciplinary knowledge to contribute to the development of new techniques and the improvement of processes and workflows for Fraud Prevention. You will integrate subject matter and industry expertise within the Gen AI and Data Science area, requiring a deep understanding of the application of Gen AI / Agentic AI. Your role will involve evaluating moderately complex and variable issues with substantial potential impact, using your analytical skills to filter, prioritize, and validate potentially complex material from multiple sources. Excellent communication and diplomacy skills are essential as you will regularly assume informal/formal leadership roles within teams, coach and train new recruits, and have a significant impact on project size and geography by influencing decisions through advice and counsel. Responsibilities: - Design, develop, and deploy generative models (e.g., GPT, GAN, VAEs) for various applications. - Customize and fine-tune existing RAG frameworks or design new RAG to meet project requirements. - Design and develop POC/full-scale solutions on various automations in Operations area including Conversational AI, Multi-Agent Systems for multiple services. - Collaborate with a cross-functional team to understand business requirements and translate them into AI solutions. - Conduct research to advance the state-of-the-art in generative modeling and stay up to date with the latest advancements in the field. - Optimize and fine-tune models for performance, scalability, and robustness. - Implement and maintain AI pipelines and infrastructure to support model training and deployment. - Perform data analysis and preprocessing to ensure high-quality input for model training. - Mentor junior team members and provide technical guidance. - Write and maintain comprehensive documentation for models and algorithms. - Present findings and project progress to stakeholders and management. Recommended Qualifications: - Bachelors or Masters degree in computer science, Data Science, Machine Learning, or a related field (Ph.D. is a plus). - 8+ years of experience in machine learning and deep learning, focusing on generative AI solution design and development. - Strong proficiency in Python and deep learning frameworks such as TensorFlow, PyTorch, or Keras. - Experience with natural language processing (NLP) and natural language generation (NLG). - Strong background in Prompt Engineering, building agentic AI/AI Agents, API/MCPs for large-scale automations in the banking domain. - Proven track record of building and deploying generative model-based solutions in production environments, particularly using RAG frameworks. - Solid understanding of machine learning algorithms, data structures, and software engineering principles. - Excellent problem-solving skills and the ability to work independently and as part of a team. - Strong communication skills to explain complex technical concepts to non-technical stakeholders. Citi is an equal opportunity employer, and we value diversity and inclusion in our workforce. If you require a reasonable accommodation for using our search tools or applying for a career opportunity, please review Accessibility at Citi. You can also view Citis EEO Policy Statement and the Know Your Rights poster for more information. As a Specialized Analytics Senior Analyst at our company, you will be responsible for applying your in-depth disciplinary knowledge to contribute to the development of new techniques and the improvement of processes and workflows for Fraud Prevention. You will integrate subject matter and industry expertise within the Gen AI and Data Science area, requiring a deep understanding of the application of Gen AI / Agentic AI. Your role will involve evaluating moderately complex and variable issues with substantial potential impact, using your analytical skills to filter, prioritize, and validate potentially complex material from multiple sources. Excellent communication and diplomacy skills are essential as you will regularly assume informal/formal leadership roles within teams, coach and train new recruits, and have a significant impact on project size and geography by influencing decisions through advice and counsel. Responsibilities: - Design, develop, and deploy generative models (e.g., GPT, GAN, VAEs) for various applications. - Customize and fine-tune existing RAG frameworks or design new RAG to meet project requirements. - Design and develop POC/full-scale solutions on various automations in Operations area including Conversational AI, Multi-Agent Systems for multiple services. - Collaborate with a cross-functional team to understand business requirements and translate them into AI solutions. - Conduct research to advance the state-of-the-art in generative modeling and stay up to date with the latest advancements in the field. - Optimize and f