Senior Specialist, Internal Audit, Risk Analytics/Modeling

What You’ll Do

• Audit Execution: Assist with performing audit reviews of model development and validations following guidelines based on SR 26-2 Supervisory Guidance on Model Risk Management, to include an assessment of model usage, documentation, conceptual soundness, data integrity, the control environment, and the software environment.
• Communicate work through formal model audit templates, reports, as well as through presentations to model owners, validators, and Internal Audit leaders.
• Work effectively as a team member with other Internal Audit team members and with other quantitative analysts at the company.
• Evaluate model performance monitoring plans and reports.
• Participate in the execution of internal audit assignments on models, ensuring work is performed timely and in accordance with IAD methodology.
• Issues Identification: Based on the results of audit testing, identify and draft audit observations for review by the Internal Audit Manager/Senior Manager (and above levels) and subsequent debriefing with the key partners (typically VP-level and below).
• Issue Management and Validation: Conduct validation testing of the audit issue action plans completed by the business.
• Risk Assessment: Under the direct supervision of IAD Management, participate in the annual Risk Assessment process, including scheduling and participation in meetings with partners, and the scoring and documentation of risk ratings.
• Coaching: Provide support, mentoring, and feedback to audit team members throughout the audit. Provide assistance with onboarding and ongoing support to new team members.
• Administration/Training: Completion of firm-wide and departmental administration and training requirements.

What you have

• Demonstrated experience performing internal audits over model risk amongst a complex operational and regulatory environment.
• Ability to work as a member of a project team and cultivate a strong working relationship with external co-sourcing providers and internal lines of businesses.
• Working on or attained advanced degree in a quantitative field (economics, statistics, finance, mathematics, physics).
• Advanced skill with one or more analytical tools, such as SAS, R, Python, or MATLAB.
• Understanding of statistical concepts and predictive modeling fields.
• Strong oral and written communication skills with a shown ability to articulate effectively and authoritatively.
• Begning exposure to model governance processes and regulatory requirements for large US banks.
• Intellectual curiosity and desire to learn new modeling techniques (e.g., Artificial Intelligence (AI) including gen AI and agentic AI).

Pay

The salary range for this position is $110,000 - $140,000 annually.

Schedule

This role is currently hybrid, with a mix of remote and in-office work. Please refer to the job listing for details.