Senior Risk Data Analyst

This is a fully remote position, open to applicants in United States.

📋 Description

• Create, develop, and sustain dashboards and reporting mechanisms for risk and compliance metrics, including return rates, unauthorized activities, fraud trends, and chargebacks.

• Examine extensive transaction datasets to uncover patterns, anomalies, and emerging risks.

• Generate both recurring and ad hoc reports for leadership and stakeholders.

• Construct and enhance automated workflows, data pipelines, and reporting procedures.

• Collaborate with Engineering and Product teams to improve data infrastructure and monitoring capabilities.

• Assist in the development of rules engines, alerts, and decision-making tools for transaction monitoring, anomaly detection, and underwriting.

• Aid in monitoring NACHA return rates, tracking merchant and originator performance, and compliance KPIs.

• Support QA/testing data analysis, audit assistance, and regulatory reporting.

• Deliver insights into merchant performance and portfolio trends.

• Work with Risk, Compliance, Underwriting, and Operations teams to identify data requirements and provide solutions.

• Clearly present complex analyses and recommendations to non-technical stakeholders.

• Convert business requirements into technical data solutions.

⛳️ Requirements

• Bachelor's degree in a quantitative discipline (Mathematics, Statistics, Computer Science, Economics, or a related field).

• Over 7 years of experience in data analytics, risk analytics, or analytics within the financial services sector.

• Strong expertise in handling large datasets and utilizing visualization tools such as Tableau, Power BI, Grafana, or similar applications.

• Ability to convert complex data into clear, actionable insights.

• Knowledge of payments data and risk indicators.

• Excellent communication and collaboration abilities.

• Experience in payments, fintech, or financial services is preferred.

• Familiarity with ACH/NACHA regulations or transaction monitoring is preferred.

• Practical experience with SQL, Python, or similar data manipulation languages is preferred.

• Familiarity with data pipeline tools and automation frameworks is preferred.

• Understanding of fraud detection, risk modeling, or compliance analytics is preferred.

🏝️ Benefits

• Annual merit bonus opportunity.

• Medical, Dental, and Vision insurance.

• 401(k) with company match.

• Generous PTO.

• Paid company holidays.

• Company-paid life insurance.

• Company-paid long-term disability insurance.

• Paid parental leave.

• Remote work arrangement.

• Occasional travel for team meetings, planning sessions, and company events.