Job Description

We are seeking a seasoned and hands-on Team Lead to head our Model Development Team, focused on driving advanced machine learning and Generative AI initiatives across critical banking domains -- including credit risk, fraud detection, legal & compliance, and consumer & institutional banking analytics.This is a high-impact leadership role ideal for a technically strong individual who combines deep expertise in ML modelling with recent experience building Generative AI applications using modern frameworks.Key Responsibilities Lead a team of data scientists and machine learning engineers in developing robust, scalable models. Design and deliver advanced ML solutions for use cases such as credit risk, customer segmentation, fraud detection, and regulatory compliance. Architect and implement cutting-edge GenAI applications using: LangChain / LangGraph RAG (Retrieval-Augmented Generation) pipelines Prompt engineering Agentic workflows Ensure adherence to model governance standards, documentation, and explainability requirements. Partner with business stakeholders to translate complex analytical needs into production-grade AI solutions. Foster a culture of innovation, learning, and accountability within the team.Must-Have Qualifications 15+ years of total experience in Python and machine learning development. Recent hands-on expertise in: Building Generative AI applications using LangChain / LangGraph Designing RAG pipelines, prompt engineering, and/or agentic AI workflows Strong foundation in traditional ML modelling techniques (e.g., regression, classification, ensemble models).Experience mentoring and leading data science teams.Preferred Experience Prior experience in the banking or financial services domain. Familiarity with regulatory environments and compliance-focused ML use cases. Proven track record in solving business problems using ML in areas like: Credit risk modelling Customer analytics Fraud detection Legal & compliance analyticsWhat We Offer A leadership role with the opportunity to shape the future of AI in banking. Work on high-priority, real-world problems with measurable business impact.* Collaborative, tech-forward work environment with opportunities for continuous learning.