What puts me in the top 10%

My distinctive strength is the combination of deep, practical experience in banking operational risk and compliance with hands-on expertise in process improvement, data systems, and applied and ethical AI.

Most professionals in business risk, operational risk, and compliance tend to fall into one of two groups:

- Domain specialists who understand regulation and controls but have limited experience with data, automation, or AI.

- Technology and data specialists who can analyse or build systems but lack the regulatory judgment and institutional understanding required to manage high-stakes controls in a bank.

My experience sits at the intersection of both. I understand how regulated processes work in practice, how controls fail or succeed, how data moves through an organisation, and how technology can make those processes more effective and defensible.

Experience at scale

At Citi EMEA, I worked on complex, high-volume initiatives involving operational risk, records management, and regulatory controls. My work included:

- Integrating more than 700 closed deal files into an electronic retention framework.

- Designing and maintaining a SharePoint platform that supported more than 240,000 interactions.

- Coordinating user acceptance testing across EMEA deal teams.

- Implementing legal-hold and retention controls.

- Producing the first formal, end-to-end data-flow map for deal files using Visio.

That data-flow map became a blueprint for the technology team. The work required more than process knowledge: it demanded operational judgment, attention to regulatory defensibility, and the ability to translate business requirements into practical systems improvements.

Practical data and systems thinking

I also bring technical and analytical skills that I apply directly to risk and control environments, including:

- Python and Pandas for extracting and analysing deal-team data.

- Advanced Excel for reporting and management information.

- SharePoint-based knowledge management at scale.

- Formal process mapping and data-flow analysis.

- User acceptance testing and process implementation.

These skills allow me to work across the boundary between business, risk, compliance, data, and technology. I am not limited to describing a problem or identifying a control gap; I can investigate the underlying data, understand the process, and help design a workable solution.

Applied and ethical AI

More recently, I have added applied AI and ethical AI to this foundation. This includes the Google AI Professional Certificate, ethical AI studies at the University of Cambridge, and work on a Digital Health Twin project with NHS Health Foundry.

The Digital Health Twin project gave me an opportunity to apply risk-management, control, and privacy-first principles to sensitive personal health data. It reinforced an important belief: AI should not be treated solely as a technology challenge. It is also a question of governance, accountability, privacy, transparency, and responsible implementation.

This combination of regulated-industry experience, systems thinking, and AI governance awareness is particularly relevant to areas such as AI governance, model risk, digital risk, and responsible technology.

Continuous reinvention

My career spans 38 years and includes municipal accounting and safety, insurance brokerage, Google for Startups consulting, and banking risk and compliance.

That breadth gives me a perspective few people develop. I have worked through the transition from paper and fax-based processes to electronic records, data-driven controls, and emerging AI applications. Throughout that evolution, I have continued to develop new skills and remain operationally focused.

The strength behind the experience

The value I bring is not simply a list of roles, qualifications, or technical skills. It is the combination of:

- Contextual judgment developed in real regulated environments.

- Systems thinking applied to complex processes and data.

- The ability to connect business requirements with technology solutions.

- An ethical and privacy-conscious approach to AI.

- The resilience and curiosity required to keep learning and adapting.

AI can analyse information and automate tasks, but it cannot yet reliably replace the human judgment required to understand context, weigh competing risks, and design controls that work in the real world.

My advantage lies in combining that judgment with the ability to improve the systems around it.