Nishant Verma

Lead engineering strategy, platform delivery and technology transformation for one of NatWest's strategic Customer Due Diligence (CDD) platforms supporting Economic Crime capabilities across Customer Due Diligence, pKYC.

Accountable for engineering strategy, architecture, delivery, engineering governance and operational excellence across six engineering squads supporting more than one million customers.

Key Responsibilities:

• Define technology strategy, engineering roadmap and platform architecture aligned with business priorities and regulatory objectives.
• Lead engineering delivery across six cross-functional engineering squads delivering strategic Financial Crime capabilities.
• Led 6 engineering managers and an engineering organisation of 50+ software and data engineers, fostering a culture of collaboration and technical excellence.
• Partner with Product, Architecture and Business Leadership to define long-term platform direction and investment priorities.
• Influence approximately £3M of annual technology investment and manage optimisation of approximately £1M annual AWS cloud expenditure.
• Drove cloud-native transformation and platform simplification, modernising legacy technology to enhance system performance and scalability.
• Champion event-driven architecture, API-first engineering and engineering best practices.
• Establish engineering governance, operational resilience, engineering standards and platform quality.
• Lead strategic vendor partnerships including AWS, Quantexa, MongoDB, StreamSets and Dun & Bradstreet.
• Built high-performing engineering organisation through focused coaching, effective succession planning, and targeted leadership development initiatives.

Key Achievements:

• Delivered 10 strategic regulatory programmes supporting Customer Due Diligence and Financial Crime transformation.
• Generated approximately £1.5M annual Run-the-Bank savings through AWS migration and platform simplification initiatives.
• Led engineering transformation across six squads supporting over 1 million customers.
• Influenced enterprise technology strategy across Financial Crime and Personal Banking platforms.
• Successfully modernised platform capabilities while improving engineering quality, scalability and operational resilience.
• Achieved three promotions within six years, reflecting sustained leadership impact and increasing organisational responsibility.

Implemented event-driven microservices, enabling processing of 1000–3000 transactions per second.

Designed and delivered cloud-native streaming platforms, enhancing telemetry and analytics capabilities.

• Designed highly scalable MongoDB data architecture on AWS.
• Implemented Kubernetes and Helm-based CI/CD deployment pipelines.
• Contributed to DevOps automation and scalability initiatives, improving efficiency of cloud-native engineering.
• Reduced platform processing costs by 15–20% through architectural optimisation.

Led telematics solution implementation team for Sprint-Drive and AT&T-Spark, delivering features including driving analysis, vehicle health analysis, and Wi-Fi hotspot.

Key Achievements:

• Integrated platform to transfer parameters from vehicles' OBD port to AWS EC2 and S3 through Kafka, achieving real-time driving pattern analysis and fleet management.
• Configured cluster with 45 TB capacity, utilising 10 data nodes, 2 master nodes (m4.2xLarge EBS optimised EC2 instances), and 6 Kafka brokers (r4.2xLarge memory optimised EC2 instances).

• Delivered enterprise integration, API and distributed application solutions for global banking and enterprise clients, enhancing system interoperability and client satisfaction.
• Key Achievements:
• Designed and delivered enterprise-grade Java and API solutions supporting business-critical platforms.
• Built scalable distributed systems using microservices, messaging and enterprise integration technologies.
• Collaborated with global delivery teams to align architecture, engineering and programme delivery, ensuring timely project execution and strategic alignment.
• Developed foundational practices in enterprise architecture and engineering for large-scale technology delivery, supporting robust system performance and scalability.