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In this interview, Arpit Jain explores the challenges financial institutions face in building effective, integrated risk management frameworks. He highlights the importance of consistent data sourcing, modular system design, and cross-functional collaboration in enabling more accurate analytics and better-informed decision-making across balance sheet management, liquidity, and risk functions.
He also reflects on the need to move beyond fragmented approaches, emphasising how organisations can benefit from aligning technology, data, and governance structures. By strengthening feedback loops between data, metrics, and strategy, firms can improve optimisation, stress testing, and overall resilience in an increasingly complex operating environment.
Arpit Jain is a Model Risk Validation Officer at NatWest Group, specialising in the quantitative and qualitative assessment of credit models. He holds a Master’s in Business and Finance from the University of Warwick. Arpit also led the Innovation & Development Council at NatWest while building his career as a Risk Modelling Graduate. With a strong foundation in finance, risk management, economics, and innovation, he is passionate about advancing robust model risk practices and contributing to the evolving landscape of model risk validation.
