Director, Risk Data & Analytics

About this role

Job Description Summary Under general direction, the Director, Risk Data & Analytics will lead the analysis, design, development, and ongoing support of data, reporting, and analytics solutions across RJF Risk Management. The role will serve as a subject matter expert on Risk’s expanding data ecosystem and emerging capabilities, partnering with Risk Stripe Leads, Segment CROs, Risk Technology, and other stakeholders to expand risk measurement, reduce data-related friction, strengthen transparency and control, and improve risk reporting. The Director will transform challenges and opportunities into value-driven use cases, lead assigned Risk Data & Analytics and Risk Technology workstreams, and manage assigned team members and delivery resources in alignment with broader strategic roadmaps.

Job Description Essential Duties and Responsibilities: • Lead the analysis, design, development, and ongoing support of tactical point solutions and scalable strategic capabilities supporting data, reporting, and analytics across assigned areas of RJF Risk Management. • Serve as a subject matter expert on RJF Risk Management data and its touch points across roles, platforms, and processes, including upstream dependencies and downstream impacts. • Lead assigned components of the Risk Data & Analytics strategy and manage data transformation, entity consolidation, and risk aggregation processes used for regulatory, audit, committee, executive, and board reporting. • Increase the frequency, breadth, and depth of risk measurement by targeting data-related process friction through automation, analytical methods, and process improvement. • Build strong stakeholder relationships and translate business, risk, and regulatory needs into clear data requirements, analytical logic, specifications, and delivery artifacts. • Manage assigned portions of the roadmap and backlog for data, analytics, reporting, dashboarding, workflow, and decision-support use cases. • Develop and implement analytical approaches and methodologies and assist stakeholders in interpreting results for risk management and business decisions. • Promote modular design, shared components, and configuration-driven development to reduce total cost of ownership and improve reuse. • Create and maintain data dictionaries, documentation, visual artifacts, reports, and end-user support materials for technical, risk, business, regulatory, and executive audiences. • Establish appropriate practices for observability, reproducibility, and auditability of analytics solutions while supporting regulatory, audit, and model risk management expectations. • Provide ad hoc reporting, visualization, and analytical support for regulatory, audit, compliance, business unit, and executive management inquiries. • Manage assigned team members and delivery resources, including workload prioritization, performance objectives, coaching, development planning, and accountability for timely, quality delivery. • Lead assigned projects and workstreams within established cost, time, scope, and quality parameters and escalate material risks, dependencies, and decisions as appropriate.

Knowledge of: • SQL, Python, relational and distributed database platforms, and industry-standard business intelligence tools such as Tableau and Qlik. • Data management and governance concepts, including quality, lineage, metadata, reconciliation, information lifecycle management, and change management. • Requirements gathering, solution design, testing, user acceptance, implementation planning, and production support. • Risk management concepts and practices, including risk identification, appetite, aggregation, measurement, monitoring, control, reporting, escalation, and governance. • Financial markets, products, financial advisory activities, investment processes, and related risk management considerations. • Risk data, analytics, and reporting practices across financial and non-financial risk domains. • Analytical approaches and methodologies used to identify patterns, trends, anomalies, and emerging risks. • Federal Reserve, OCC, FINRA, SEC, and other relevant regulatory lenses applicable to risk data, analytics, reporting, and controls.

Skill in: • Developing creative, pragmatic solutions to complex data, reporting, analytics, and technology matters. • Planning and managing projects and workstreams within established cost, time, scope, and quality parameters. • Translating business, risk, and regulatory needs into data requirements, analytical logic, specifications, implementation plans, and other delivery artifacts. • Preparing and delivering clear, effective reports and presentations for technical, risk, business, regulatory, and senior management audiences. • Effectively engaging with and influencing stakeholders outside direct reporting lines to drive alignment on priorities, risks, dependencies, and issue resolution. • Managing and developing team members, establishing clear expectations, and holding individuals accountable for results.

Ability to: • Apply technology, data, and analytics toward practical solutions that support risk management and help protect Raymond James and its clients. • Execute as both a hands-on individual contributor and a leader of project teams and workstreams, including planning, task assignment, issue tracking, stakeholder updates, delivery oversight, and escalation. • Manage a multidisciplinary team of analysts and other data and analytics resources. • Shift effectively between technical analysis, stakeholder engagement, people management, and delivery execution. • Facilitate meetings and working sessions with mixed audiences and ensure key viewpoints, risks, issues, and decisions are captured and addressed. • Translate analytical work into findings and recommendations that can be applied by Risk Management and broader business stakeholders. • Evaluate the ROI of vendor tooling against competing and internally developed solutions.

Work Visa: • Please note: T

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