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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in fraud prevention and financial crime within UK consumer lending, with a strong focus on building and deploying fraud models and AI agents. Capable of collaborating across teams to design effective controls and deliver actionable fraud analytics.
Highest-signal resume keywords
Fraud PreventionPython ProgrammingSQL ExpertiseMachine LearningCI/CD Experience
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Fraud ModelsRisk ModelsAnomaly DetectionDocument IntelligenceNetwork AnalysisAI AgentsDeepfakes TestingSynthetic Document EvaluationVersion-Controlled CodeModel Monitoring
Soft Skills
CollaborationProblem DefinitionPrioritizationCommunicationRelationship Building
Tools & Technologies
GitCloud PlatformsCI/CD ToolsFraud Analytics ToolsGovernance Frameworks
Industry Keywords
UK Consumer LendingMotor FinancePoint-of-SaleFintechFraud Community
Tech Stack
Tools & technologiesCloudPythonSQL
About the role
Key responsibilities & impact- Own Carmoola's fraud strategy across customer, document, dealer and vehicle fraud
- Decide what to build versus buy while balancing loss prevention against customer and dealer friction
- Own the fraud roadmap and shape requirements with Product and Engineering
- Work with Credit, Ops and Collections to ensure controls fit business operations
- Design and develop AI agents that assess application, document, bank, bureau, dealer and vehicle data
- Build fraud classifiers, anomaly detection, document intelligence and network analysis
- Identify linked applications, synthetic identities and dealer collusion
- Own end-to-end production deployment, including version-controlled code, CI/CD, safe releases, live monitoring, governance and human oversight
- Test fraud journeys and controls using deepfakes, synthetic documents, AI-generated identities and automated application attacks
- Deliver fraud analytics and management information showing losses, prevention and causes
- Report against risk appetite to senior leadership and the board
- Build relationships with peer lenders, Cifas, National Hunter, the FLA, UK Finance and law enforcement
- Convert shared intelligence about emerging threats into new controls
Requirements
What you’ll need- Significant experience in fraud prevention or financial crime within UK consumer lending, ideally motor finance, point-of-sale or a fast-growth fintech
- Personally built fraud or risk models and put them into production
- Expert in Python and SQL
- Strong grounding in machine learning
- Product and delivery mindset; ability to define problems, prioritise, collaborate with Product, Engineering, Credit, Ops and Collections, and deliver outcomes
- Practical experience building with LLMs and AI agents on real decisions, including evaluation, guardrails and governance
- Experience with Git, testing, CI/CD, cloud platforms and model monitoring
- Well connected in the UK fraud community
- Ability to design controls proportionate to risk and explain them to engineers and the board
- Genuine excitement for Carmoola's mission and the chance to shape the future of how people get on the road
Benefits
Comp & perks- Competitive salary range of £110-120k
- Options/equity package
- Yearly performance-based pay reviews
- Hybrid working: 3 days a week in our London office, in the heart of beautiful Primrose Hill
- Holidays: 30 days + bank holidays, plus an extra day on your birthday
- 15 days a year to work from anywhere
- Private healthcare
- Pension: 5% employer matched contribution
- Cycle to Work Scheme
- Join a mega-talented and high performing team
- The chance to play a pivotal role inside a fast-growing fintech during a meaningful stage of its journey.
