A group of financial institutions — investment banks, hedge funds, insurers — needed help with risk assessment and predictive analytics. These encompassed market risk volatility, challenges with real-time data processing, achieving global regulatory-compliance targets (such as Basel III, Solvency II), and operational inefficiencies. Moreover, the classic models were not designed for unstructured data, real-time insights, and scalability, which often resulted in poor decision-making.
The company was provided a machine learning and big data-driven solution that utilized real-time analytics along with Power BI dashboards.
Key initiatives included predictive modeling using TensorFlow, scalable data processing with PySpark, and automated compliance workflows. Interactive dashboards provided actionable insights for credit risk, high-frequency trading, and underwriting processes.
The solution delivered measurable improvements:
This approach enhanced decision-making, built stakeholder trust, and ensured regulatory compliance, positioning the client to thrive in volatile markets.