Technical Business Analyst (Fraud & AI Transformation)

Computershare is global leader in financial administration with over 12,000 employees across more than 22 different countries. Many of the world's leading organisations use us to streamline and maximise the value of relationships with their investors, employees, creditors and customers.

Our global footprint means we have the scale to maintain robust compliance, audit, risk, financial crime, disaster recovery and business continuity planning programs - offering peace of mind to our clients and their customers.

AMS is a global workforce solutions partner committed to creating inclusive, dynamic, and future-ready workplaces. We help organisations adapt, grow, and thrive in an ever-evolving world by building, shaping, and optimising diverse talent strategies.

We partner with Computershare to support their contingent recruitment processes. Acting as an extension of their recruitment teams, we connect them with skilled interim and temporary professionals, fostering workplaces where everyone can contribute and succeed.

On behalf of Computershare, we are looking for a Technical Business Analyst (Fraud & AI Transformation) for a 12 Months contract based in Edinburgh (Hybrid - 3 times per week in the office).

Join us as a Technical Business Analyst (Fraud & AI Transformation)

Join a high-profile Fraud & AI Transformation programme focused on modernising fraud detection, investigation, and monitoring capabilities acrossaleadingfinancialservicesorganisation.You'llworkattheintersectionoffraudoperations,data,andtechnology,translatingcomplexfraudusecasesintodata-drivenandAI-enabledsolutionsthatimproveoperationaleffectivenessanddecision-making.

Your key responsibilities will include:

• Analyse existing fraud monitoring, alert management, and investigation processes to identify automation and AI enhancement opportunities.
• Translate fraud operations requirements into detailed functional specifications, data mappings, and technical user stories.
• Document end-to-end fraud workflows, system interactions, data lineage, and control points across multiple platforms.
• Perform data analysis on fraud-related datasets, reports, and KPIs to validate business requirements and support solution design.
• Define AI and analytics use cases, including fraud detection, anomaly identification, alert prioritisation, and investigator assistance tools.
• Partner with data engineers and technology teams to ensure accurate implementation of fraud rules, data models, and reporting requirements.

What you will bring to the role:

• Proven Business Analysis experience within Fraud, Financial Crime, AML, Cyber Fraud, or Risk Transformation programmes in financial services.
• Strong expertise in data mapping, source-to-target analysis, data lineage, and requirements traceability.
• Hands-on experience analysing complex datasets and validating business requirements using SQL and reporting tools.
• Demonstrable knowledge of fraud detection processes, case management workflows, transaction monitoring, and alert management environments.
• Experience producing process maps, functional specifications, user stories, acceptance criteria, and target operating model documentation.
• Understanding of AI and machine learning concepts with the ability to define practical business use cases and translate them into technical requirements.

Next steps

Computershare are dedicated to providing you with the opportunity to succeed on your own merits, starting from the application process. Our goal is to create an environment where everyone feels valued, to remove barriers and obstacles and ensure equal opportunities for all.

If you are interested in applying for this position and meet the criteria outlined above, please click the link to apply and speak to one of our Sourcing Specialists.

AMS are committed to providing all our candidates with the opportunity to perform at their best throughout the recruitment process. Please let us know if you require any additional support or reasonable adjustments during the screening process and we will work with you and Computershare to identify the best solution to meet your requirements.

We can only accept workers operating via an Umbrella or PAYE engagement model.

Please note that for the duration of this assignment you will be working as an external resource engaged by AMS.