Lead Analysts – Risk Fraud Analytics
Northampton, to £50,000 + bonus & benefits
This role is within the GFM- Risk Fraud Analytics team and is responsible for the provision of data-driven analytics for the management of Fraud decision strategy, to maximise the performance of Fraud risk systems, toolkits and associated data and processes to contribute directly to the proactive detection of fraud and the reduction of fraud losses while minimising impact to genuine customers and their transactions.
The Role
* Ensure effective score and rule performance management for fraud detection tools ensuring optimal False Positive rates and Key Performance Indicators such as alert volume SLAs, Victims of fraud, Fraud Losses are set and achieved.
* Production of the design, development and deployment of analysis and monitoring to prevent and detect fraud, responding to emerging trends and attack. Identify, monitor, escalate and respond to emerging fraud trends in MO, attack profile, customer profile.
* Provision of fraud systems/data Subject-matter-expertise in the evaluation and development of new fraud systems/tools and their implementation.
* Supports the delivery of predictive analytics and models to allow the development of new Fraud Management solutions and better understand fraud control strategies that may be deployed.
* Assists stakeholders to articulate their fraud system strategy requirements/queries, guiding and challenging where appropriate.
* Provision of analytics to ensure vendor managed services, such as Fair Isaac and Experian are optimal, and challenge where performance does not meet with Barclays standards or SLA.
The Candidate
* Degree or equivalent in statistics, mathematics, operational research or related area or significant relevant experience.
* Working knowledge of SAS/SQL.
* Experience of working in a data intensive environment.
* Track record in performing data analysis and building predictive models, utilising a standard statistical package such as SAS (preferred) for large financial institutions.
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