Risk Data & Governance Analyst

Work Location
:
Remote until onsite RTO is in place in 2027 – Must be in 40 miles from Mount Laurel, NJ.

SUMMARY OF THE ROLE:
Risk Data Management & Integrity

• Source, aggregate, and manage data across multiple internal systems to support governance, risk, and management reporting.
• Maintain data integrity by enforcing standards for accuracy, completeness, timeliness, consistency, and traceability across all reporting outputs.
• Partner with data providers and enterprise data teams to resolve data discrepancies and ensure alignment across sources.

Risk Analytics & Insights Development

• Analyze quantitative and qualitative data to identify trends, emerging risks, performance drivers, and control gaps.
• Facilitate investigation of metric excess breaches with risk owners to determine remediation efforts needed by the business.
• Translate complex data into actionable insights tailored for senior management, committees, and regulators.
• Provide forward?looking analysis to support decision?making, risk prioritization, and strategic planning.

Reporting & Visualization

• Design, develop, and maintain dashboards and recurring reports that support governance and business oversight.
• Ensure reporting is clearly articulated, decision?focused, and aligned to established risk appetite, KPIs, KRIs, and KCIs.
• Deliver timely, consistent reporting to management committees, boards, and regulatory stakeholders.

Quality Assurance & Controls

• Execute quality assurance reviews on all reporting outputs to validate data accuracy, completeness, methodology, and narrative consistency prior to publication.
• Implement documented QA checkpoints, including peer reviews, data validation routines, and exception tracking.
• Confirm that reporting outputs meet internal governance standards and audit expectations with clear evidence of review and approval.

Governance & Standards

• Establish and maintain reporting standards, documentation, and procedures to ensure consistency and sustainability of insights production.
• Support metric definition, annual refreshes, and threshold alignment in partnership with metric owners and stakeholders.
• Ensure all reporting activities are audit?ready, well?documented, and reproducible.

Continuous Improvement & Enablement

• Identify and implement opportunities to automate reporting, reduce manual processes, and minimize operational risk.
• Leverage technology (e.g., dashboards, analytics tools, automation) to improve efficiency and insight quality.
• Drive continuous enhancement of data quality, reporting effectiveness, and analytical depth.