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Tier-1 brand and metro location increase applicant density, while GenAI leadership specialization reduces broad competition.
Requires fraud/risk domain, MRM, and GenAI expertise, limiting cross-industry fit.
Explicit 9+ years, 3+ leadership, domain/regulatory and tech stack mandates enforce strict shortlisting.
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Lead and grow a high-performing Fraud GenAI data science team with accountability for mentorship, hiring, and talent development.
Oversee design, development, and production deployment of generative AI and fraud detection solutions using LLMs and advanced AI technologies.
Manage end-to-end project delivery, ensuring solutions meet regulatory standards and stakeholder requirements while driving adoption across the organization.
9+ years in data science or AI/ML roles with at least 3+ years in people leadership or team lead roles.
Strong proficiency in Python and data science libraries (Transformers, LangChain, LlamaIndex, PyTorch, TensorFlow) and experience with generative AI platforms and vector databases (e.g., PG Vector, Pinecone, FAISS, Chroma).
Experience in model development, validation, regulatory compliance (MRM), and fraud or risk domain expertise preferred.
Education: Bachelor’s degree required; Master’s degree in Statistics, Technology, or Economics preferred.
Proven leader able to build and scale data science teams specializing in fraud analytics and generative AI technologies.
Experienced in deploying production-grade generative AI solutions integrating LLMs, RAG pipelines, and vector DBs within regulated environments.
Skilled at cross-functional stakeholder engagement, with the ability to communicate complex technical solutions to both technical and business audiences effectively.