Overview
Permanent
c£36,000 + Pension + Private Medical + ShareSave + 6.6 weeks holiday + Hybrid Working (3 days a week in the office)
Location: Southampton, Store Support Office
Role Purpose
As a Fraud Analyst, your core purpose will be to develop and interrogate data mining streams to identify internal & external fraud across stores and SSO, while managing fraud screening referrals and police requests.
What's the job?
Role Objectives
1. Work collaboratively with the team to utilize data mining effectively.
2. Establish networks to access new data sources.
3. Understand business risks and validate with owners.
4. Design data mining streams to detect fraud, considering all opportunities using available data sources.
5. Stay aware of the changing business landscape to identify future risks.
6. Adopt a 'brainstorm, create, test, streamline' approach for fraud detection.
7. Seek feedback to refine streams and reduce false positives.
8. Coordinate with other banners for a consistent fraud detection approach.
9. Regularly review and update data streams.
10. Work closely with investigators to understand their needs and support training.
11. Support the Kingfisher Group and Internal Audit with data and insights.
12. Promote cross-banner collaboration and share best practices.
13. Identify weaknesses in processes and recommend improvements.
14. Collaborate with the Crime Centre on external fraud detection and resource deployment.
15. Identify areas needing increased controls to prevent fraud.
16. Learn from industry experts to improve risk prevention tools.
17. Develop fraud awareness among stakeholders like Asset Protection, ER, Legal.
18. Work with Fraud Investigators to enhance their data skills.
19. Understand online fraud risks and work with third-party providers to mitigate them, balancing customer experience and security.
20. Manage online risk orders, liaising with stores, police, and CMC as needed.
What we need:
* Experience with recognized data mining tools.
* Background in Seamless payments, SAP Finance, Dotcom+, and Omni Channel Business.
* Knowledge of Payment Card Industry regulations and Data Security Standards.
* Proficiency in communication protocols and network security controls.
* Experience as a fraud data mining analyst.
* Strong analytical skills to identify trends and interpret complex data.
* Proficiency in IT, including MS Office and IBM SPSS.
* Understanding of retail environment operations.
* Experience in setting organizational policies and procedures.
* Effective communication skills, confident in challenging and influencing decision-makers, sharing ideas clearly.
What's in it for me?
Join a valued team where diversity and inclusion are prioritized. Benefits include an award-winning pension scheme, ShareSave options, 6.6 weeks holiday, payroll giving, Employee Assistance Programme, shopping discounts, wellbeing benefits, and more. We aim to support your wellbeing and professional growth in a supportive environment.
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