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Driving Better Risk Decisions Through Data and Integration
Arpit Jain discusses how financial institutions can enhance risk decision-making by improving data integration, breaking down silos, and aligning risk frameworks with strategic objectives.
Apr 01, 2026
Arpit Jain
Arpit Jain, Model Risk Validation Officer,, Natwest Group 
Tags: Model risk
The views and opinions expressed in this content are those of the thought leader as an individual and are not attributed to CeFPro or any other organization

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 Bio

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.

Arpit Jain
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