SVP, Risk Technology - Risk Technology Modernization

Description

Position Summary

The SVP I, Risk provides strategic leadership and oversight of key Risk functions, driving operational effectiveness, risk management, and alignment with the Bank's broader business objectives. This role is responsible for identifying opportunities to improve processes, strengthen organizational capabilities, and leverage emerging technologies, including artificial intelligence, advanced analytics, and automation, to advance the Risk organization.

The SVP I, Risk is responsible for translating the organization's risk management strategy into operational processes, controls, systems, and governance practices that effectively manage credit, operational, regulatory, financial, and enterprise risks. This leader serves as a bridge between executive risk leadership and frontline execution, ensuring strategic objectives are implemented consistently across the organization while meeting regulatory requirements and supporting business goals.

The role partners closely with Technology, Data, Operations, Compliance, and business leadership teams to evaluate and implement technology-enabled solutions that enhance risk management, decision-making, operational efficiency, and business performance. The SVP I will drive the adoption of innovative capabilities while maintaining appropriate governance, controls, and risk oversight.

Essential Job Functions

- Lead the development and execution of Risk strategies aligned with enterprise objectives and organizational priorities. - Lead the implementation of enterprise, credit, operational, and fraud risk strategies. - Identify opportunities to improve Risk processes through automation, analytics, artificial intelligence, and other emerging technologies. - Partner with Technology, Data, Operations, and business leaders to evaluate, prioritize, and implement technology-enabled solutions. - Develop an understanding of AI applications, governance considerations, associated risks, and regulatory expectations relevant to Risk functions. - Lead organizational change initiatives and ensure successful adoption of new processes, technologies, and capabilities. - Lead the integration of Artificial Intelligence into risk decisioning and strategy execution. - Lead implementation and adoption of the Enterprise Data Platform across risk analytics, operations, reporting, and decision-making functions. - Translate risk policies and governance requirements into actionable business processes and controls. - Collaborate with stakeholders across Risk, Finance, Technology, Operations, and Compliance to execute strategic initiatives. - Oversee risk framework enhancements, policy updates, and control optimization efforts. - Ensure compliance with internal governance standards and external regulatory requirements. - Support development and implementation of risk models, decision strategies, scorecards, and monitoring tools. - Prepare executive-level reporting and presentations on implementation status, risk impacts, and performance outcomes. - Coordinate user acceptance testing (UAT), change management, and training activities related to risk initiatives. - Identify and implement process improvement opportunities to enhance risk effectiveness and operational efficiency. - Manage the execution of customer communication campaigns, outbound marketing, and trigger-based notifications. - Maintain and enhance automated processes used to calculate predictive models, algorithms, and scorecards supporting underwriting, credit extension, account treatments, and offer optimization. - Implement advancements in strategy execution, data integration, predictive analytics, data management, and automated reporting capabilities. - Establish team goals, manage strategic priorities, and direct the work of technology, analytics, and risk professionals. - Perform other duties as assigned.

Position Requirements

- Demonstrated experience leading Risk functions, strategic initiatives, and cross-functional teams. - Proven ability to drive operational improvements, business transformation efforts, and organizational change. - Strong understanding of risk management principles, governance frameworks, controls, and regulatory expectations. - Experience evaluating emerging technologies and assessing business applications, implementation considerations, and associated risks. - Ability to effectively communicate strategy and influence executive stakeholders across Risk, Technology, Operations, and business functions. - Demonstrated ability to lead and develop diverse teams of professionals. - Knowledge and experience executing risk strategies through the use of data, analytics, technology platforms, and management information systems, preferably within financial services. - Minimum 10 years of Financial Services experience, including at least 5 years of leadership experience. - Bachelor's degree required. - Verifiable record of accountability, strategic thinking, perseverance, and strong organizational skills. - Self-directed, independent, and experienced in owning complex systems, processes, and business outcomes. - Demonstrated leadership in identifying and implementing technology solutions that support strategic objectives. - Strong analytical, creative, and business-focused problem-solving skills. - Ability to learn complex systems and business processes and translate business needs into actionable solutions.

Preferred

- Advanced degree in Analytics, Data Science, Computer Science, Business, Risk Management, Finance, Engineering, or a related field. - Experience supporting artificial intelligence, machine learning, automation, advanced analytics, or digital transformation initiatives. - Familiarity with AI governance frameworks, model risk management practices, and implementation considerations. - Experience leveraging enterprise data platforms and technology solutions to improve operational efficiency, risk management, and decision-making. - Experience within a highly regulated financial services environment, including credit card or consumer lending organizations.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.