Fraud Risk Analyst
Role Title: Fraud Risk Analyst
35 Hours per week
Competitive Daily Rate
Overall purpose of role:
Responsible for supporting 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 our genuine customers and their transactions
Key Accountabilities and Skills required:
- Production 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.
- Provision of analytics and monitoring to ensure vendor managed services, such as Fair Isaac and Experian are optimal and meet Barclays SLAs
Ensure that all activities and duties are carried out in full compliance with regulatory requirements, Enterprise Wide Risk Management Framework and internal Barclays Policies and Standards
Your Skills and Qualifications will include:
- Ability to absorb large quantities of data at speed, making the right decisions quickly with limited data availability
- Completion of a degree or equivalent in statistics, mathematics, operations research or related area or significant relevant experience
- Passionate about data analysis and how this contributes to the business
- A self-motivated team player who is able to define structure and prioritise work for self, but who also has the flexibility and capability to change priorities when circumstances dictate.
- Working knowledge of Fraud, or similar risk systems, such as Hunter and Falcon, preferably with experience in the use of data analytics and statistical techniques to optimise rules and strategies within such systems.
- Ability to use a query language such as SAS/SQL to manipulate and analyse large and complex data sources (training in this area can be given).
- Ability to challenge and to be innovative
- Excellent organisational skills
- Excellent communication skills, both verbal and written
Skills and knowledge:
- Analytical ability - Must have a clear understanding and experience in performing data analysis and be capable of working independently on data analysis tasks
- Technical skills - Including competence in the use of SAS, SQL, Excel, Outlook and Word.
- Team working - Ability to work with and in cross-functional and virtual teams across locations.
- Communication - Strong communication skills with the ability to think quickly and package ideas and results in a logical, understandable way for both technical and non-technical audiences.
- Innovation - Ability to develop innovative ways to solve complex problems, within particular constraints.
- Quality and Controls - Ability to assess validity and ensure quality and accuracy of work delivered
- Planning and Organisation - Ability to prioritise work in order to maximise value for the business
- Organisational awareness - Ability to see the 'whole picture' and recognise the impact and opportunities of activities across the organisation.