Job Ref: 213163209

Date: 2021-02-10 15:16:29

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Working in the Risk Fraud Analytics team, responsible for the provision of data driven analytics for the management of Fraud Decision Strategy. Maximising 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 our genuine customers and their transactions.

Fraud Analyst

Working in the Risk Fraud Analytics team, responsible for the provision of data driven analytics for the management of Fraud Decision Strategy. Maximising 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 our genuine customers and their transactions.

Role

Communicating complex data/ system issues and solutions to a varied stakeholder audience

Absorbing large quantities of data at speed, making the right decisions quickly with limited data availability
Using existing working knowledge of statistical modelling and neural networks
Ensuring effective score and rule performance management for Fraud Detection tools, ensuring optimal False Positive rates and Key Performance Indicators

Producing the design, development and deployment of analysis and monitoring to prevent and detect fraud

Supporting the delivery of Predictive Analytics and models to allow the development of new Fraud Management solutions and better understand Fraud Control Strategies

Assisting stakeholders to articulate their Fraud System Strategy requirements / queries – guiding and challenging where appropriate

Provisioning Analytics to ensure vendor managed services are optimal and challenge where performance does not meet with standards or SLA
Skills & Experience

A self-motivated team player who is able to define structure and prioritise work, but also has the flexibility and capability to change priorities when circumstances dictate

Analytical ability – preferably working knowledge of SAS / SQL and experience of working in a Data Analytics environment

Ability to absorb large quantities of data at speed, making the right decisions quickly with limited data availability

Able to absorb large quantities of data at speed, making the right decisions quickly with limited data availability

Knowledge of Fraud Risk Systems and Controls ideally

Possibly an understanding of issues relating to Card and Non-Card Fraud

Experience with Fraud types and the key drivers of Fraud losses

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