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Global Non-Financial Risk Assessments & Control Program Lead

Global Non-Financial Risk Assessments & Control Program Lead

CompanyMorgan Stanley
LocationNew York, NY, USA
Salary$165000 – $275000
TypeFull-Time
DegreesBachelor’s
Experience LevelSenior, Expert or higher

Requirements

  • An undergraduate degree (B.A., B.S., or equivalent) required
  • 10-15 years of experience in Financial Services
  • Strong technical understanding of the financial services regulatory environment, with a focus on Operational, Compliance or Financial Crimes Risk
  • Excellent communication and influencing skills, both verbal and written, and an ability to present ideas concisely and visually
  • Proven track record of designing or leading strategic enhancements to risk or control frameworks
  • Adept at influencing senior stakeholders and aligning cross-functional teams in a matrixed environment
  • Excellent analytical skills and a strong ability to work with large data files and spreadsheets

Responsibilities

  • Lead the strategic enhancement and modernization of the Non-Financial Risk (NFR) Framework
  • Design innovative and forward-thinking risk framework components to drive real risk management value
  • Challenge conventional thinking and bring creative, outside-the-box solutions to strengthen risk identification, mitigation, and reporting practices
  • Translate complex risk concepts into clear, practical methodologies and tools used across the First and Second Lines of Defense
  • Collaborate with cross-functional teams (Risk, Compliance, Technology, Legal, Business Lines) to co-create fit-for-purpose frameworks and controls
  • Own program delivery, including project planning, execution oversight, and reporting for enterprise-wide risk transformation initiatives
  • Build strong, trust-based relationships with senior leaders to align on strategic priorities and drive adoption of framework enhancements
  • Establish and run governance structures, steering committees, and working groups to ensure timely decision-making and accountability
  • Collaborate with Data and Analytics on unified categorization model, data visualization, data objects

Preferred Qualifications

    No preferred qualifications provided.