What are the responsibilities and job description for the Senior Manager, Supervision & Controls - AI Risk Management position at Charles Schwab Inc.?
Your Opportunity
At Schwab, you are empowered to make an impact on your career. Here, innovative thought meets creative problem solving, helping us “challenge the status quo” and transform the finance industry together.
Retail Supervision and Risk Management (RSRM) is an independent group responsible for providing supervisory support through direct supervision, escalation, oversight, analysis, and supervisory risk assessments, to Schwab’s Investor Services. Retail Supervision and Risk Management’s vision is to be a trusted independent partner of all Schwab stakeholders that promotes business growth through effective risk management. We strive to improve business outcomes by providing and applying practical, consistent, effective, and unbiased risk guidance that is grounded in a deep understanding of business goals as well as the regulatory and industry environment.
We are seeking a highly motivated, independent, and skilled risk management professional to play a crucial role in navigating the complex landscape of artificial intelligence within our organization. This position is at the forefront of ensuring strategic and responsible AI implementation, respectful and influential partnership, all while managing associated risks. This is an individual contributor role.
What you are good at:
- Work in close partnership with various key stakeholders, such as Model Risk Oversight (MRO), AI Enablement Team, and our business units (e.g., Investor Services) to provide consistent, effective, and objective risk guidance based on a deep understanding of regulatory requirements, firm policies, and industry standards.
- Lead AI model owners through established AI protocols, ensuring alignment with organizational AI strategies, existing technologies, and risk management principles and best practices.
- Contribute to the development and refinement of the organization's AI strategy, ensuring alignment with risk management objectives and regulatory requirements while striving to become more efficient and effective.
- Pioneer AI-related initiatives through recognition of opportunities, scoping of feasibility and efforts, and leading to execution enhancements to better RSRM’s supervisory and risk framework and processes.
- Strategize and define risk-based approaches for new or modified processes, procedures, and polices in response to regulatory changes and evolving business needs.
- Identify and report gaps in policies, procedures, and controls to leadership and business partners, while proposing innovative solutions for implementation.
- Conduct supervisory reviews focused on AI-related risk mitigation, including input/output validation, concerns related to front-line professionals, and client impact assessment, while adhering to service level agreements.
- Identify risks, inefficiencies, training needs, and coaching opportunities for the program and broader organization.
- Perform other needed work, as requested, such as various project initiatives.
What you have
Required Qualifications
- FINRA Series 7 and Series 9/10 (or equivalent) required, or willingness to obtain within a specified timeframe.
- Extensive knowledge of Artificial Intelligence risk management frameworks (e.g., NIST AI Risk Management Framework) and AI-related regulations.
- Expertise in various aspects of AI risk management, including governance, model risk management, Whitepaper assessments, and the ability to challenge concerns where applicable.
- Minimum 5 years of experience in financial services, preferably with exposure to AI and/or risk management.
Preferred Qualifications
- Prior product owner/management experience in AI-related projects.
- Prior supervision/risk management experience.
- Strategic and futuristic mindset, with the ability to develop new approaches while linking existing processes to new technology.
- Results-driven and innovative professional with a collaborative approach and authenticity. Demonstrates discipline and accountability in ambiguous environments.
- Proven ability to gain the respect, trust, and support of leadership (including officers) while influencing without direct authority.
- Superior written and verbal communication skills, with the ability to synthesize complex data and develop actionable recommendations.
- Strong industry acumen with the ability to work autonomously and adapt to rapidly changing technological and regulatory landscapes. Demonstrates cross-cultural competence for effective collaboration.
- Ability to work well under competing deadlines.
- Strong organizational skills.
- Commitment to continuous learning and staying abreast of the latest developments in AI technologies, risk management practices, and relevant regulations.