AI Fraud Modelling Specialist

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.

Interested in this role You can find all the relevant information in the description below.
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 an AI Fraud Modelling Specialist for an 8 Months contract contract based in Edinburgh (3 times per week in the office).
Join us as a AI Fraud Modelling Specialist
As AI Fraud Modelling Specialist you will join a growing AI Transformation Programme and represent the Fraud Control Unit (FCU) within a newly established AI Hub. This role will focus on assessing fraud risks associated with AI-enabled solutions, emerging technologies, and digital transformation initiatives, ensuring appropriate controls are designed and embedded from the outset.
Your key responsibilities will include:
Lead fraud modelling and fraud risk assessment activities for new AI platforms, capabilities, products, and technology upgrades.
Identify potential fraud threats, vulnerabilities, and exploitation scenarios associated with AI-enabled solutions and emerging technologies.
Review and challenge solution designs, ensuring appropriate fraud prevention, detection, and monitoring controls are implemented.
Act as the key liaison between Fraud, Risk & Controls, AI Transformation teams, and wider business stakeholders.
Provide expert advice on AI governance, fraud risk management, and control frameworks throughout the project lifecycle.
Support the development and continuous improvement of fraud modelling methodologies, risk frameworks, and fraud-by-design practices.
What you will bring to the role:
Strong experience in Fraud Risk Management, Fraud Modelling, Fraud Prevention, and Financial Crime disciplines.
Proven understanding of Risk and Control Frameworks and the ability to assess control effectiveness.
Experience evaluating fraud implications of digital transformation initiatives, emerging technologies, or AI-driven solutions.
Ability to identify, assess, and mitigate fraud risks across complex business and technology changes.
Excellent stakeholder management skills with experience influencing and challenging senior business and programme stakeholders.
Exposure to Artificial Intelligence, Machine Learning, Data Analytics, or AI Governance would be highly advantageous.
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. xrexnqw
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.