Hybrid Internal Audit Lead Associate: Controls & Risk

The Fannie Mae; United States; Hybrid; USD 109,000 - 142,000; Full time

Benefits offered by this job

Health benefits

Life insurance

Voluntary lifestyle benefits

Incentive program

Job summary

The Fannie Mae is seeking an Internal Audit Operations Lead Associate to oversee risk-based audits across the organization. You will plan, execute, and report on audits, guiding a team to strengthen controls and governance while ensuring regulatory compliance.

Join a collaborative environment that emphasizes critical thinking, communication, and ongoing learning, including responsible use of new technologies and AI-driven approaches to improve processes.

Qualifications

• 4 years of audit experience.
• Knowledge of the audit life cycle: planning, assessment, testing, reporting, monitoring.
• Experience leading a team of auditors.
• Excellent written and verbal communication skills.
• Ability to collaborate with partners and management.
• Curiosity and adaptability in learning new technologies, including AI.

Responsibilities

• Lead end-to-end audit engagements with planning, testing, documentation and reporting.
• Assess risk and control design, identify deficiencies and recommend actions.
• Supervise and mentor audit staff, review workpapers and deadlines.
• Ensure regulatory compliance with internal policies and standards.
• Communicate findings to stakeholders and provide clear recommendations.

Skills

Audit experience

Audit life cycle

Team leadership

Risk assessment

Communication skills

Analytical skills

Adaptability to AI/tech

Education

Bachelor’s degree

CIA/CPA/CISA preferred

Job description

The Fannie Mae is seeking an Internal Audit Operations Lead Associate to oversee risk-based audits across the organization. You will plan, execute, and report on audits, guiding a team to strengthen controls and governance while ensuring regulatory compliance.

Join a collaborative environment that emphasizes critical thinking, communication, and ongoing learning, including responsible use of new technologies and AI-driven approaches to improve processes.