Top Data & Analytics Jobs

Supports risk analytics and reporting for Home Lending accounting and financial reporting teams. Responsibilities include validating forecasting and reporting models, reconciling data, maintaining governance documentation, troubleshooting SAS queries and production issues, supporting audits and controls, and partnering with business, finance, compliance, and technology stakeholders to improve reporting transparency and efficiency.

Leads governance and lifecycle management for financial crime and sanctions-screening models, including AI-enabled solutions. Oversees documentation, model use checks, monitoring, certifications, validation, change management, issue remediation, control implementation, and regulatory compliance. Partners with risk, technology, operations, data, audit, and business teams while developing AI governance frameworks, performance metrics, and control procedures. Presents model risk assessments and remediation progress to senior leaders, governance committees, and regulators.

Supports risk analytics and reporting for Home Lending Controller’s Group Accounting Analytics. Responsibilities include validating forecasting and reporting models, developing and troubleshooting SAS queries, reconciling data, maintaining governance documentation, supporting production processes, resolving data issues, and delivering insights to finance, technology, compliance, and business stakeholders. The role also supports audit readiness, operational controls, reporting automation, and continuous process improvement.

Leads governance and lifecycle management for financial crimes and sanctions screening models. Responsibilities include model documentation, monitoring, controls, performance analysis, regulatory compliance, issue remediation, implementation testing, AI governance, and stakeholder coordination across risk, technology, operations, audit, and data teams. Presents model risk updates and remediation progress to senior leadership, governance committees, and regulators.

Lead and execute moderately complex analytics to support strategic initiatives. Perform data analysis, develop understanding of systems and processes, identify engineering opportunities, mentor junior staff, lead cross-group projects, and ensure compliance and risk controls are followed.

Leads governance and lifecycle management for financial crimes and sanctions screening models, including AI-enabled solutions. Responsibilities include model documentation, monitoring, controls, performance analysis, change management, issue remediation, regulatory support, audit coordination, and AI governance. Partners with risk, technology, operations, data, and audit stakeholders while presenting model effectiveness, risk assessments, and remediation updates to leadership and regulators.

Leads enterprise data engineering, analytics, governance, and AI initiatives for Corporate & Investment Banking Finance. Designs scalable data architectures, pipelines, curated datasets, semantic models, and cloud reporting platforms. Drives data quality, lineage, metadata management, reporting modernization, workflow automation, generative AI adoption, and responsible AI practices. Partners with senior Finance, Technology, and Data Management stakeholders to deliver enterprise data products and transformation programs.

Leads enterprise-scale data engineering, analytics, governance, and AI initiatives for Corporate and Investment Banking Finance. Designs scalable architectures, pipelines, curated datasets, semantic models, and data products; modernizes reporting through cloud platforms and automation; establishes data quality, lineage, metadata, and governance standards; and drives responsible generative AI adoption. Partners with senior Finance, Technology, Data Management, and business stakeholders while leading cross-functional data transformation programs.

Leads enterprise-scale data engineering, analytics, governance, and AI initiatives for Corporate and Investment Banking Finance. Designs scalable architectures, pipelines, curated datasets, semantic models, and data products; modernizes reporting through cloud platforms and automation; establishes data quality, lineage, and governance practices; and drives responsible generative AI and machine learning adoption. Partners with senior Finance, Technology, and Data Management stakeholders while leading cross-functional data transformation programs.

Lead analytics, dashboards, KPI reporting, measurement frameworks, and executive insights for talent attraction and recruitment marketing. Analyze employer brand, candidate engagement, labor market, and competitor data to identify trends and opportunities. Establish reporting governance and translate complex findings into actionable recommendations, presentations, and business narratives while partnering with stakeholders to support strategic decisions.