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Risk Management Modelling

The financial services industry is undergoing significant transformation due to various micro-economic and macro-economic factors, including business model transformations, adoption of new technologies, changing regulatory environments, making this industry a highly complex ecosystem. They are constantly evolving the way they manage risk to leverage emerging technologies, and to increase risk management productivity and effectiveness. There is need to incorporate enhanced, nimble, and robust risk management techniques/capabilities, which will be able to address newer financial as well as non-financial risks and the challenges of regulatory fragmentation.

Our Approach

We specialize in building artificial intelligence and machine learning classification & forecasting models that are deployable to identify any risk (Business/Strategic risk, Compliance risk, Credit risk, Cyber-Security Risk) and mitigate them through our advanced predictive and prescriptive analysis.
Offerings

Fraud Detection

Credit/
Insurance Risk Modelling

Churn Modelling

Possible outcomes with Risk Management Modelling

Better transparency

Increase in transparency level of customers with high risk profiles and better management of existing customer portfolios

Improved customer service

Enhanced customer service with better accessibility to risk profiles and the ability to improve turnaround times

Effective pricing

Better targeted risk-based pricing & reduced the scope of intuition-based and judgement-based errors

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