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Senior Operational Risk Data Analyst - Fraud & Risk - OnPoint Community Credit Union
Data Analyst
Senior analyst responsible for designing, building, and maintaining data pipelines and analytical models to detect fraud and assess operational risk, leveraging SQL, Python, and visualization tools to support decision‑making in a fast‑growing credit union.
About the role
Key Responsibilities
- Develop and maintain robust data pipelines and ETL processes to consolidate transaction, member, and operational data.
- Design and implement statistical and machine‑learning models for fraud detection and risk scoring.
- Create interactive dashboards and visual reports (Tableau/Power BI) to communicate risk insights to stakeholders.
- Perform root‑cause analysis of fraud incidents and recommend preventive controls.
- Collaborate with compliance, security, and business teams to define risk metrics and monitoring frameworks.
- Document data definitions, model assumptions, and reporting procedures to ensure reproducibility.
Requirements
- 5+ years of experience in data analysis or risk analytics within financial services.
- Proficiency in SQL and Python (pandas, scikit‑learn, statsmodels).
- Hands‑on experience building visualizations in Tableau or Power BI.
- Strong understanding of fraud detection techniques, statistical modeling, and risk management concepts.
- Excellent problem‑solving, communication, and stakeholder‑management skills.