Key job responsibilities

- Support the design and implementation of Veeqo's end-to-end fraud prevention and investigation framework, establishing KPIs, policies, SOPs, and response protocols

- Build and manage fraud detection tools, rules, and alerts using internal and third-party platforms (e.g., Metabase, FullStory, custom rule engines) to proactively identify suspicious activity

- Conduct thorough fraud investigations — gathering evidence, analysing data, documenting findings, and producing actionable recommendations

- Serve as the primary handler of Stripe-related issues including disputes, failed payments, transaction queries, and refunds

- Handle carrier chargeback queries from sellers, investigating disputed charges, analysing trends, and developing dispute strategies

- Communicate directly with sellers throughout the investigation lifecycle — providing clear updates, managing expectations, and ensuring a professional experience

- Collaborate cross-functionally with Product, Engineering, Legal, and Compliance to identify process gaps, propose improvements, and ensure regulatory adherence (e.g., GDPR, PCI DSS)

- Deliver regular fraud trend reports and risk assessments to leadership, quantifying financial impact and proposing mitigation tactics

- Investigate and resolve account-level issues beyond fraud — including account compromise recovery, compliance actions, seller disputes, and operational escalations — ensuring thorough documentation throughout

- Own continuous improvement of the investigation function — conducting post-incident reviews, evaluating new tooling, creating training resources and mentoring team members

About the team

Veeqo is Amazon's multi-channel shipping and inventory platform, purpose-built for fast-growth e-commerce businesses. Since joining the Amazon family in 2021, Veeqo has helped thousands of online retailers cut shipping costs, streamline fulfilment, and scale with confidence. Our Swansea team sits at the heart of that mission — and this role puts you right at the centre of it.

Basic Qualifications

- Experience with data analysis tools such as Advanced Excel, SQL, Tableau, Python

- Experience identifying and solving complex problems through data analysis

- Experience in fraud investigation, abuse, cyber-crimes, or equivalen