VP, Enterprise Risk Analytics
- Location
- Stamford, CT
- Employment
- Full Time
- Work model
- On-Site
- Level
- Staff
- Posted
Skills
About this role
Role
Summary/Purpose: The VP, Enterprise Risk Analytics will provide enterprise-wide analytical leadership, support, and capabilities across the Risk organization. This leader will design and develop advanced analytical tools, techniques, and reporting solutions that generate actionable risk management insights and enable Risk colleagues to identify, assess, monitor, and manage risk more efficiently and effectively. The role will oversee analytical and reporting initiatives, guide the design of analyses and project plans, and translate findings into clear, strategic recommendations. This leader will manage a team of Risk Analytics professionals who support Synchrony’s second line of defense oversight responsibilities and broader risk strategy. Reporting to the SVP, Risk Data Governance, they will engage regularly with executive and senior leadership, as well as cross-functional business partners across the organization. As a people leader, this role is critical to attracting, developing, and retaining top analytical talent; building a strong future talent pipeline; fostering collaboration and cross-training across teams; creating meaningful career pathways; and establishing and executing a team engagement strategy.
Essential Responsibilities
Lead a global organization of Risk Analytics professionals and support the planning and execution of oversight activities while providing mentorship, guidance, engagement, career pathing and development opportunities Develop enterprise-wide, forward-looking analytics and early-warning capabilities that identify material risk trends, concentrations, interdependencies, emerging risks, and changes in the Company’s risk profile Understand, leverage and promote value of data and analytics to create bigger impact and value to the business Drive extended usage of analytics and AI to drive more efficiencies and effectiveness within risk management processes and activities (e.g. replace traditional sampling with full file analysis where possible, etc.) Lead the AML Analytics arm of the team which drives the use of analytics and full-file testing to strengthen BSA/AML/OFAC compliance, improve data quality and monitoring, and provide senior leaders with insights and solutions that proactively identify and reduce financial crime risk. Establish and maintain risk-based standards for the development, documentation, testing, peer review, data lineage, change management, ongoing validation, and quality assurance of risk analytics and critical risk reporting. Develop, present, and explain the value and vision of proposed solutions to cross-business senior leaders and stakeholders Lead the continuous risk monitoring program, including the development and maintenance of forward-looking indicators, risk metrics, thresholds, trend and concentration analysis, dashboards, visualizations, and escalation protocols that provide timely insight into changes in the Company’s risk profile Contribute to and drive agile developments and enhancements to our system platforms enabling the organization to connect more data to the point of decision Proactively look for and identify opportunities across Synchrony to construct and implement integrated risk analytics solutions Provide thought leadership in various initiatives/projects Promote innovation and support the team from ideation to execution Offer new ideas and approaches to enable Enterprise Risk Analytics team to fully realize its potential and provide even greater contributions to Synchrony and Risk organization Partner with other Analytics/Functional leaders outside of Risk (e.g. Ops, Credit, Growth, etc.) to identify and apply best practices both from Synchrony and other external companies related to use of analytics in general, tools, processes, talent/career management and overall integration with other teams Drive Risk Transformation including supporting automation, standardization, and cycle-time reduction through advanced analytics and improvement