Finyard · 4 hours ago
Data Analyst
United States
Full-time
Remote
Mid Level
3+ years expFinyard is a global team focused on innovating in the FinTech space by providing modern software solutions. They are seeking a Data Analyst to join their Data Office, focusing on payments, where the role involves monitoring payment flows, detecting fraud, and improving payment performance through analytics.
FinTech
Responsibilities
Own and build day-to-day monitoring of payment flows and key risk indicators (deposits/withdrawals, approval rates, chargebacks, reversals, disputes, processor incidents)
Build and maintain alerting for anomalies and suspicious patterns; define thresholds, escalation rules, and investigation playbooks
Investigate user behaviour across web and mobile apps, focusing on payment journeys, drop-offs, and abnormal patterns
Conduct ad-hoc analyses and deep dives to explain deviations, incidents, and emerging risks
Run research to discover new fraud patterns, weak signals, and optimisation opportunities
Develop and iterate anti-fraud rules, scoring approaches, and detection logic for payment abuse
Evaluate rule quality and impact (false positives/negatives, loss prevention, customer experience impact) and drive continuous improvement
Build dashboards and tooling for the monitoring/operations team (investigation views, drill-downs, case lists, segmentation views)
Translate operational needs into clear requirements for Engineering/Data Engineering
Create customer segmentation by payments risk (behavioural, transactional, device/network, processor outcomes)
Build unit economics of a paying user (fees/costs, chargeback/dispute losses, fraud losses, net contribution, cohorts)
Design and analyse A/B tests related to payment flows, risk controls, and UX changes
Formulate requirements and actively participate in building payments data marts and 'single source of truth' datasets
Improve the payments/product metrics system: definitions, documentation, and consistency
Qualification
Required
3+ years of experience in data analytics (fintech/payments/risk is a strong plus)
Strong SQL+Python 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
Preferred
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
Company
Finyard
Finyard core focus is pioneering innovative and contemporary software solutions tailored for the FinTech sector.
51-200 employees
Funding
Current Stage
Growth StageLeadership Team
Dmitrij Pruglo
Chief Executive Officer
Recent News
2025-08-08
2024-12-13
2024-04-25
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