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This role is a senior position where we are seeking a highly experienced and strategic Vice President to lead our Gen AI Initiatives as part of Analytics & Information Management (AIM). The successful candidate will be responsible for designing & implementing advanced data science solutions and leveraging Generative AI to drive business value, enhance decision-making, and uncover strategic insights. This position requires a strong analytical mindset, technical expertise, and the ability to translate complex data into actionable business intelligence.

As a Vice President in this practice, you will take ownership of analytical workstreams from conception to delivery. You will work in close partnership with business leaders to understand their challenges, collaborate with technology teams to access and utilize data, and engage with control functions to ensure solutions are robust, compliant, and aligned with enterprise standards.

The role is pivotal in promoting a data-driven culture by demonstrating the power of analytics and the responsible application of machine learning and Generative AI. You will serve as a subject matter expert, guiding stakeholders on the art of the possible while ensuring all activities adhere to our firm's rigorous governance and risk management frameworks.

Key Responsibilities:

• Lead the design and implementation of generative AI use cases, from ideation to production.
• Build and tune LLM-based applications using platforms like Vertex, GPT, Hugging Face, etc.
• Create robust prompt engineering strategies and 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 Tech and business teams to identify opportunities and build solutions.
• 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 and industry best practices in fraud detection and model validation.
• Responsible for documenting the model development documents for MRM approvals and governance purposes.
• Stay current on GenAI trends, frameworks (LangChain, LlamaIndex), and research.
• Mentor junior team members and promote a culture of experimentation and learning.
• Stay abreast of advancements in Gen AI, LLMs, and fraud prevention technologies, applying relevant innovations to projects.
• Specialization in operational risk & controls domain preferred

Qualifications:

• 10+ years of hands-on experience in data science, or AI/ML roles.
• 7+ years’ experience in statistical analysis with working knowledge of at least one of the following statistical software packages: Python (Must), Hive, Spark, SAS Strong quantitative, analytical, and problem-solving skills; knowledge of probability theory, statistics, mathematical finance, econometrics, numerical methods
• 2+ years of hands-on experience specifically with generative AI or LLMs.
• Strong understanding of statistical concepts and modelling techniques including traditional and advanced ML algorithms
• Strong programming skills in Python, and familiarity with libraries like 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
• Experience building applications with OpenAI, Anthropic Claude, Google Gemini, or open-source LLMs.
• Familiarity with regulatory requirements and guidelines related to risk model validation
• Strong communication skills and the ability to partner with both technical and non-technical stakeholders.