Graduate Fraud Analyst

📋 Description

• • Analyze fraud patterns and develop strategies to reduce fraud losses across Lendable’s UK Cards portfolio while maintaining a seamless customer experience.
• • Use SQL and Python to extract, clean, and analyze large datasets to uncover actionable insights that drive fraud prevention decisions.
• • Collaborate with cross-functional teams including product, engineering, and risk to implement data-driven fraud strategies into live systems.
• • Monitor the performance of deployed fraud controls and continuously identify new opportunities for improvement through data analysis.
• • Automate routine reporting and intelligence sharing processes to improve efficiency and enable faster decision-making for stakeholders.
• • Translate complex data findings into clear, business-focused recommendations that align with commercial objectives and customer journey goals.
• • Contribute to the evolution of fraud strategy as new product lines and market conditions emerge, ensuring proactive rather than reactive responses.
• • Work in a fast-paced, high-autonomy environment where decisions directly impact business outcomes and customer trust.
• • Engage in a startup culture that values resourcefulness, innovation, and ownership — with minimal bureaucracy and maximum impact.
• • Participate in onsite interviews and case study exercises as part of the hiring process, demonstrating analytical thinking and problem-solving under pressure.
• • Support the broader team in balancing fraud mitigation with customer experience, ensuring security does not compromise usability.
• • Stay updated on emerging fraud trends and industry best practices to inform Lendable’s evolving risk framework.
• • Work closely with data science and engineering teams to integrate machine learning models and new data sources into fraud detection workflows.
• • Contribute to a culture of continuous learning by seeking feedback, refining approaches, and sharing knowledge across the team.
• • Operate within a hybrid work model requiring three days per week in the London office, with opportunities for in-person social events and off-sites.
• • Leverage internal tools and data pipelines built in-house to generate real-time intelligence on fraudulent activity and customer behavior.
• • Help scale fraud prevention capabilities as Lendable expands into new markets, starting with the UK and preparing for entry into the US.
• • Deliver measurable improvements in fraud detection accuracy, reduction in false positives, and overall portfolio profitability.
• • Participate in regular team meetings, strategy reviews, and ad-hoc problem-solving sessions to align fraud initiatives with company-wide goals.
• • Maintain strict data governance and compliance standards while conducting analyses on sensitive customer financial information.
• • Contribute to a data-first culture where decisions are grounded in evidence, experimentation, and iterative testing.