Hybrid Model Risk Governance Leader (Associate Director)

The Depository Trust & Clearing Corporation (DTCC); Boston (MA); Hybrid; USD 150,000 - 210,000; Full time

Benefits offered by this job

Health insurance

Life insurance

Pension plan

Paid time off

Hybrid work model

Job summary

The Depository Trust & Clearing Corporation (DTCC) is seeking an experienced professional to lead Model Risk Management activities. You will oversee the MRM system of record, produce regulatory reports, and drive data quality across validation teams.

This role emphasizes AI risk awareness and regulatory compliance within a hybrid work environment. Ideal candidates have extensive experience in model risk, strong communication with senior stakeholders, and the ability to implement automation to

Qualifications

• Minimum 8 years of relevant experience in risk management or model risk governance.
• Demonstrated expertise in AI and Generative AI risk management.
• Familiarity with SR11-7 and related regulatory expectations.

Responsibilities

• Manage MRM system of record and ensure accuracy of records.
• Prepare reports and packages for quarterly regulatory requirements.
• Perform data review and control; act as liaison between validation and support groups.
• Engage in firm-wide initiatives to identify models and document rationale.
• Standardize enterprise model determination criteria and consult with owners.
• Develop automation tools for enhanced reporting and efficiency.
• Produce project reports for senior management and the Board.
• Respond to ad hoc regulatory requests with Regulatory Relation team.

Skills

Model Risk Management

AI risk management

SR11-7 knowledge

Data reporting

Stakeholder communication

Education

Bachelor’s degree

Job description

The Depository Trust & Clearing Corporation (DTCC) is seeking an experienced professional to lead Model Risk Management activities. You will oversee the MRM system of record, produce regulatory reports, and drive data quality across validation teams.

This role emphasizes AI risk awareness and regulatory compliance within a hybrid work environment. Ideal candidates have extensive experience in model risk, strong communication with senior stakeholders, and the ability to implement automation to