By Bidemi Akeem

Financial technology expert Esther Alaka has called on financial institutions and regulators to accelerate the adoption of hybrid cloud infrastructure for real-time financial stress testing, citing its potential to transform how banks assess risk in volatile markets.

Alaka made this appeal while speaking to finance professionals at the National Association of Black Accountants (NABA) 2024 convention, where she shared insights from her work in financial modeling and machine learning at JPMorganChase.

“Stress testing today must move beyond static reports. With hybrid cloud strategies and distributed analytical engines, banks can simulate thousands of crisis scenarios in real time,” she said.

Alaka explained that traditional stress testing models are slow, resource-intensive, and often outdated by the time insights reach decision-makers. She emphasised that a hybrid cloud approach — combining on-premise systems with public cloud capabilities — offers the flexibility and speed needed to run advanced simulations on demand.

She pointed to Monte Carlo simulations, widely used in risk analysis, as a prime example of models that can benefit from parallelisation in the cloud. “By distributing the workload across multiple nodes in a hybrid cloud, we can cut processing time from hours to minutes while maintaining accuracy,” she noted.

With expertise in developing automated ML models and data-driven financial risk frameworks, Alaka advocated for integrating these technologies into central bank guidelines to improve systemic resilience.

“Real-time insights are no longer optional in an era of global shocks — from pandemics to cyber threats. We need agile systems that adapt as fast as the market does,” she said.

Alaka, who holds a Master of Science in Applied Statistics and Decision Analytics, argued that cloud-based stress testing aligns with regulatory trends that demand more dynamic, forward-looking analysis from banks.

She also highlighted security advantages. “Hybrid cloud allows sensitive data to remain on-premise while still leveraging cloud scalability for computation. It’s the best of both worlds for compliance and performance,” she added.

Alaka encouraged Nigerian financial regulators and IT departments within banks to work collaboratively in deploying distributed analytical engines. She believes this will unlock more robust insights into credit exposure, liquidity gaps, and operational risks.

Citing her experience automating financial modelling processes to improve risk visibility, she stressed that machine learning integrated with cloud simulations provides early warnings that traditional methods often miss.

According to her, the biggest barrier to widespread adoption is not technology but mindset. “There’s a fear of complexity. But with proper training and governance, hybrid cloud strategies can be safely and effectively implemented,” she said.

She urged banks to begin with pilot projects focusing on high-risk portfolios, using distributed simulations to forecast outcomes under various economic stressors. “Once leadership sees the agility and accuracy, scaling becomes a natural next step,” she explained.

Alaka closed her remarks by challenging the financial community to move from reactive to proactive risk management. “Let’s not wait for the next crisis to reveal our blind spots. Real-time stress testing is how we stay ahead,” she concluded.