One Data Platform, Analytics & Rules (Risk Consulting)

Position Summary

Temporary Supervisor with 6+ years of experience in data analytics, enterprise data platforms, data governance, and business rules management to support Risk Consulting engagements within the Financial Services and Global Banking sectors. This role will help clients improve data quality, regulatory compliance, risk reporting, and decision-making through analytics, governance, and rules-based solutions.

Key Responsibilities

• Support the implementation and enhancement of enterprise data platforms and analytics solutions.
• Develop and maintain business rules, data quality rules, and control frameworks.
• Perform data analysis, validation, reconciliation, and issue remediation across complex data environments.
• Assist with data lineage, metadata management, and data governance initiatives.
• Create dashboards, KPIs, and reporting solutions using analytics and visualization tools.
• Gather business requirements and translate them into data-driven solutions.
• Support risk, compliance, regulatory reporting, and audit-related data initiatives.
• Collaborate with business and technology stakeholders throughout project lifecycles.
• Participate in testing, documentation, implementation, and production support activities.

Required Qualifications

• 6+ years of experience in data analytics, data management, data governance, or related consulting roles.
• Experience working within Financial Services, Banking, Risk Management, Compliance, or Regulatory Reporting environments.
• Strong SQL and data analysis skills.
• Experience with data quality management, data lineage, metadata management, and governance frameworks.
• Experience with Power BI, Tableau, or similar reporting and visualization tools.
• Strong communication and stakeholder management skills.

Preferred Qualifications

• Experience with Collibra or similar data governance tools.
• Knowledge of BCBS 239, regulatory reporting, AML, risk data aggregation, or enterprise risk programs.
• Experience with Azure, Databricks, Synapse, Fabric, or other modern cloud analytics platforms.