Risk Data Analyst

Priority Technology Holdings, LLC•Hicksville, NY

8h•$75,000 - $100,000•Onsite

About The Position

As a Risk Data Analyst, you will sit at the intersection of data science and financial risk, helping us identify, quantify, and mitigate risk across our merchant portfolio, payment channels, and partner ecosystem. You'll work closely with underwriting, compliance, fraud operations, and product teams to surface insights that protect the business and enable growth. This is a high-impact role for someone who is analytically rigorous, naturally curious, and comfortable translating complex data into clear, actionable recommendations.

Requirements

2–5 years of experience in risk analytics, fraud analytics, financial data analysis, or a related field within payments, fintech, banking, or commerce.
Proficiency in SQL Server or Snowflake for querying large transactional datasets; experience with Python or R is a strong plus.
Demonstrated experience building dashboards and visualizations in tools such as Tableau, Power BI, Looker, or similar.
Solid understanding of payment risk concepts — chargebacks, disputes, fraud typologies, merchant underwriting, and credit risk.
Strong analytical thinking: able to frame ambiguous problems, develop hypotheses, and validate findings with data.
Excellent communication skills — able to present complex findings clearly to both technical and non-technical audiences.
High attention to detail and a commitment to data accuracy and integrity.
Bachelor’s degree in a related field.

Nice To Haves

Experience at a payments processor, acquiring-bank, ISO, or fintech.
Familiarity with card network rules (Visa, Mastercard) as they relate to chargeback thresholds and dispute management.
Exposure to AML, KYC, or BSA compliance data analysis.
Experience with rules engines applied to fraud or credit risk scoring.
Knowledge of regulatory frameworks such as PCI-DSS, Regulation E, or NACHA rules.
Master’s degree in a related field.

Responsibilities

Analyze transaction, merchant, and portfolio data to identify risk trends, anomalies, and emerging exposures across credit, fraud, and operational risk categories.
Create recurring and ad hoc reports using SQL Server, Snowflake, Excel, Periscope, Tableau, and other business intelligence tools.
Build and maintain dashboards, models, and reports that give risk stakeholders real-time visibility into key risk indicators (KRIs), chargeback rates, merchant health scores, and portfolio concentration.
Develop and refine recommendations for improvements in merchant underwriting, onboarding, and ongoing monitoring.
Support chargeback and dispute analysis — identifying root causes, tracking trends by various dimensions (like MCC, processor, and/or partner), and recommending remediation strategies.
Conduct portfolio segmentation analysis to identify high-risk merchant segments and inform risk appetite decisions.
Automate recurring risk reporting and data workflows to reduce manual effort and improve turnaround time.
Collaborate with product, engineering and data teams to ensure risk data pipelines are accurate, complete, and timely.
Assist in regulatory and audit-related data requests, ensuring documentation is thorough and defensible.
Stay current on payment industry risk trends, regulatory developments, and evolving fraud typologies.
Ability to present data and findings to management.