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Our Team
You’ll be joining the Plastics Fraud Analytics team, who are responsible for the plastics fraud strategies across all products. What this means in layman’s terms is monitoring, identifying and preventing fraudulent transactional activity across our Debit and Credit portfolios by utilising fraud tools to implement strategies and engaging with stakeholders to identify best practices.
What you’ll be doing
- Optimisation and monitoring performance of fraud detection and prevention systems and associated models.
- Configuring fraud systems to manage fraud risk within appetite and budget.
- Part of an innovative fraud analytics team that tune fraud defences to prevent fraud, while balancing operational impact and genuine customer interventions.
- Completing analytics as directed to support the setting and on-going reporting and management of the Fraud loss budget.
- Producing accurate and relevant fraud MI required by governance committees and stakeholders.
- Providing daily, weekly, monthly & quarterly fraud loss monitoring and reporting.
- Providing analysis to support maintenance, development and investment in fraud defence systems.
- Collaborating and building relationships with various stakeholders.
We need you to have
- Practical experience of using SAS / SQL or equivalent analytical tools to develop data driven solutions.
- Proven ability to manage workload in a fast-paced environment with potentially multiple conflicting needs.
- Strong communication skills to positively challenge and influence.
- Proven experience in problem solving
- Practical experience producing and creating accurate MI
It’s a bonus if you have but not essential
- Track record of completing analytics and tuning fraud defence systems to manage fraud loss within budget and appetite.
- Knowledge and use of industry standard fraud systems and data sources (Falcon, CA Arcot, Biocatch, TS2).
- Knowledge of fraud risks, threats, and landscape.
Red Hot Rewards
- Generous holidays - 38.5 days annual leave (including bank holidays and prorated if part-time) plus the option to buy more.
- Up to five extra paid well-being days per year
- 20 weeks paid, gender-neutral family leave (52 weeks in total) for expectant parents and those looking to adopt.
- Market-leading pension.
- Free private medical cover, income protection and life assurance.
- Flexible benefits include Cycle to Work, wellness and health assessments, and critical illness.
Business Unit: COO, Fraud Analytics
Salary range: £32,000- £40,000 per annum per annum DOE + red-hot benefits
Location: UK Hybrid with occasional travel to a hub