Lead Analyst - Credit Data Solutions

Job Summary

Required Qualifications

• •8 to 10+ years of experience in data management, data quality, data remediation, data governance
• •preferably within banking or financial services
• •Prior banking experience in large financial institutions
• •experience supporting regulatory reporting functions
• •Strong understanding of Finance and Regulatory Reporting data needs
• •Experience working with enterprise data quality tools, frameworks, and control processes
• •Proven ability to collaborate effectively with global teams across Finance, Regulatory Reporting, Technology, and Governance
• •Demonstrated experience identifying data issues, driving root cause analysis, and leading remediation initiatives
• •Bachelor's or master's degree in engineering, Data, Engineering, Finance, Computer Science, or related field
• •Experience with cloud data platforms (Snowflake, AWS, Azure)
• •Exposure to data lineage tools, metadata management platforms, and data quality monitoring solutions
• •Good Knowledge or experience in Python, AI / ML, Data visualization tools like Power BI, Tableau
• •Hands on experience in database connectivity, SQL Server / Dev, Oracle, Snowflake, Netezza, both on-prem and in cloud
• •familiarity with ETL and data virtualization tools
• •Experience in data governance tools like Collibra or equaling

Desired Qualifications

• •Experience in data remediation programs focused on improving accuracy, completeness, consistency, and timeliness of data used in Finance and Regulatory Reporting
• •Strengthen end-to-end data controls, including lineage, reconciliation, validations, monitoring, and issue management
• •Identify data breakages, root causes, and impactful remediation pathways in partnership with global stakeholders
• •Drive continuous improvements aligned with enterprise data governance policies and regulatory expectations
• •Support data requirements for key regulatory filings (e.g., FR Y-14, Y-9C, Call Reports, Liquidity, and other finance data needs)
• •Ensure data quality thresholds, reconciliation processes, and lineage mapping meet the needs of Finance and Regulatory Reporting teams
• •Collaborate with SMEs to align data processes with evolving regulatory and internal reporting requirements
• •Follow enterprise data governance policies, standards, and controls across critical data domains
• •Partner with Data Governance to ensure business terms, data definitions, lineage, and critical data elements meet required standards
• •Drive adoption of governance frameworks and champion data stewardship across Finance and Regulatory Reporting
• •Build and sustain strong working relationships with across Finance, Regulatory Reporting, Data Governance, Engineering, Architecture, and Operations
• •Ensure clear, transparent, and proactive communication with global teams and stakeholders at multiple levels
• •Help identify and prioritize strategic data migration opportunities to modern platforms (e.g., cloud environments, Snowflake) in partnership with Engineering & Architecture teams
• •Ensure data migrations contribute to improvements in data quality, governance maturity, and operational resilience
• •Drive adoption of modern data tools and capabilities across enterprise teams
• •Experience in Agile ceremonies (e.g., sprint planning, daily stand-ups, retrospectives)
• •Act as a liaison between Regulatory Reporting teams, data engineers, and developers
• •Create and maintain clear documentation, requirements specifications, and user guides, as well as source-to-target mapping and metadata documentation in Collibra
• •Conduct thorough root cause analysis of data gaps and data quality issues and formulate the resulting remediation initiatives
• •Formulate responses to Regulatory Edit Checks and other inquiries that result from FR Y-14Q filings
• •Collaborate with Regulatory Reporting teams, and stakeholders to elicit, document, and prioritize business requirements for the FR Y-14
• •Participate in Agile ceremonies (e.g., sprint planning, daily stand-ups, retrospectives) to align on pod goals, refine user stories, and deliver incremental improvements
• •Assist in defining acceptance criteria for data-related user stories and support testing to ensure the data environment meets regulatory and business needs
• •Support the implementation of data quality rules and controls to ensure compliance with data governance and regulatory requirements
• •Understand Regulatory Edit Checks and other data quality controls and work with stakeholders to strengthen the risk and control environment
• •Contribute to the evolution of data culture by building and enhancing data infrastructure, reporting frameworks, optimizing data pipelines, Data remediation for Regulatory Reporting needs and mentoring teams on data storytelling and visualization best practices with advanced data technologies and experience
• •Gather requirements, analyzing data processes, and ensuring the data environment aligns with data governance and regulatory compliance objectives
• •Drive efficient workflows, optimize data systems, and support iterative delivery in a fast-paced Agile environment
• •Partner across global teams
• •Identify data challenges, prioritize remediation initiatives, and advance the bank's data maturity
• •Work closely with Finance, Regulatory Reporting, Data Governance, Technology, Architecture, and Operations
• •Translate business needs into actionable technical requirements
• •Build and enhance data infrastructure
• •Optimizing data pipelines
• •Data remediation for Regulatory Reporting needs
• •mentoring teams on data storytelling and visualization best practices
• •Support the data environment that enables Regulatory Reporting teams to file complete and accurate Y-14 regulatory reports
• •bridging business needs and technical solutions
• •gathering requirements
• •analyzing data processes
• •ensuring the data environment aligns with data governance and regulatory compliance objectives
• •drive efficient workflows
• •optimize data systems
• •support iterative delivery in a fast-paced Agile environment
• •Collaborate with Regulatory Reporting teams, and stakeholders to elicit, document, and prioritize business requirements for the FR Y-14
• •Participate in Agile ceremonies (e.g., sprint planning, daily stand-ups, retrospectives) to align on pod goals, refine user stories, and deliver incremental improvements
• •Act as a liaison between Regulatory Reporting teams, data engineers, and developers to translate business needs into actionable technical requirements
• •Support the implementation of data quality rules and controls to ensure compliance with data governance and regulatory requirements
• •Assist in defining acceptance criteria for data-related user stories and support testing to ensure the data environment meets regulatory and business needs
• •Create and maintain clear documentation, requirements specifications, and user guides, as well as source-to-target mapping and metadata documentation in Collibra, to support regulatory audits and team workflows
• •Conduct thorough root cause analysis of data gaps and data quality issues and formulate the resulting remediation initiatives
• •Formulate responses to Regulatory Edit Checks and other inquiries that result from FR Y-14Q filings
• •Strengthen end-to-end data controls, including lineage, reconciliation, validations, monitoring, and issue management
• •Identify data breakages, root causes, and impactful remediation pathways in partnership with global stakeholders
• •Drive continuous improvements aligned with enterprise data governance policies and regulatory expectations
• •Support data requirements for key regulatory filings (e.g., FR Y-14, Y-9C, Call Reports, Liquidity, and other finance data needs)
• •Ensure data quality thresholds, reconciliation processes, and lineage mapping meet the needs of Finance and Regulatory Reporting teams
• •Collaborate with SMEs to align data processes with evolving regulatory and internal reporting requirements
• •Follow enterprise data governance policies, standards, and controls across critical data domains
• •Partner with Data Governance to ensure business terms, data definitions, lineage, and critical data elements meet required standards
• •Drive adoption of governance frameworks and champion data stewardship across Finance and Regulatory Reporting
• •Build and sustain strong working relationships with across Finance, Regulatory Reporting, Data Governance, Engineering, Architecture, and Operations
• •Ensure clear, transparent, and proactive communication with global teams and stakeholders at multiple levels
• •Help identify and prioritize strategic data migration opportunities to modern platforms (e.g., cloud environments, Snowflake) in partnership with Engineering & Architecture teams
• •Ensure data migrations contribute to improvements in data quality, governance maturity, and operational resilience
• •Drive adoption of modern data tools and capabilities across enterprise teams