Data Analyst (Payments)

TL;DR

Data Analyst (Payments): Monitoring payment flows, detecting and preventing abuse, and improving payment performance with an accent on anti-fraud rules, scoring approaches, and scalable analytics foundations. Focus on investigating user behavior, discovering new fraud patterns, and building unit economics of paying users.

Location: Remote

Company

hirify.global is a global technology company launched in 2018, passionate about bringing revolutionary software services and modern solutions in the FinTech space to users worldwide.

What you will do

• Own and build day-to-day monitoring and alerting for payment flows and key risk indicators.
• Investigate user behaviour across web and mobile apps, focusing on payment journeys, drop-offs, and abnormal patterns.
• Develop and iterate anti-fraud rules, scoring approaches, and detection logic for payment abuse.
• Build dashboards and tooling for the monitoring/operations team (investigation views, drill-downs).
• Create customer segmentation by payments risk and build unit economics of a paying user.
• Design and analyse A/B tests related to payment flows, risk controls, and UX changes.

Requirements

• 3+ years of experience in data analytics, with a strong plus for fintech/payments/risk experience.
• Strong SQL+Python skills and hands-on experience working with large datasets.
• Experience with monitoring/alerting, anomaly investigation, and KPI ownership.
• Practical understanding of fraud/risk analytics (rule-based detection, segmentation, basic modelling).
• Ability to communicate insights clearly and collaborate with cross-functional stakeholders.

Nice to have

• Experience with chargebacks/disputes, acquirers/processors, payment schemes, or AML-related analytics.
• A/B testing know-how (guardrails, bias, statistical pitfalls).
• Experience with product analytics tooling and event-based tracking.

Culture & Benefits

• Join a global team of engineers, data scientists, marketeers, and financial experts passionate about technology and innovation.
• Work in a company committed to ensuring every product released is in service of its users.
• Collaborate with Payments, Risk/Fraud, Product, and Engineering teams.
• Opportunity to build scalable analytics foundations, including data marts, metrics, and alerting.
• Contribute to continuously improving rule quality and impact for anti-fraud measures.