TL;DR

Lead Payment Fraud Analyst (Fintech): Preventing and detecting payment fraud across platforms using data and analytics with an accent on identifying emerging fraud trends and strengthening controls. Focus on leveraging tools like Ravelin, collaborating with ML teams, and delivering timely reporting to balance risk with customer experience.

Location: Hybrid in Edinburgh, UK (minimum 60% office attendance over 12 weeks, with a 28-day work from abroad policy)

Salary: £50,000–£60,000 + Bonus

Company

%hirify_global% is a FTSE 250 company enabling millions of travellers to find and book rail and coach tickets across Europe and the UK, collaborating with 270+ transport companies in over 40 countries.

What you will do

Own and track key fraud, loss, and recovery metrics.
Spot trends and anomalies, leveraging tools like Ravelin and ML teams to proactively mitigate risk.
Collaborate with Chargeback Admins and Fraud Review Agents to respond to the changing payment fraud landscape.
Deliver timely and accurate internal and external fraud trend reports for senior leadership.
Automate dashboards and reporting tools to streamline analysis.
Ensure compliance with data security and privacy standards and identify revenue leakage through fraud analytics.

Requirements

Proficiency in SQL, Python, R, or similar data analysis tools.
Understanding of predictive modeling, clustering, and classification techniques for fraud analytics.
Experience using BI and reporting tools such as Tableau or Power BI.
Knowledge of regulatory frameworks like GDPR, PCI DSS, and PSD2.
Strong communication, problem-solving, and analytical mindset.
Experience managing data projects and presenting complex data insights to various audiences.

Nice to have

Familiarity with data pipelines and cloud platforms (e.g., AWS or Google BigQuery).

Culture & Benefits

Private healthcare & dental insurance.
Generous work from abroad policy (28 days).
2-for-1 share purchase plans and EV Scheme.
Extra festive time off and excellent family-friendly benefits.
Clear career paths, transparent pay bands, personal learning budgets, and regular learning days.
Hybrid work model with minimum 60% office attendance over a 12-week period.