This job is responsible for conducting quantitative analytics and complex modeling projects for specific business units or risk types. Key responsibilities include leading the development of new models, analytic processes, or system approaches, creating technical documentation for related activities, and working with Technology staff in the design of systems to run models developed. Job expectations may include the ability to influence strategic direction, as well as develop tactical plans.
Responsibilities:
- Leads audit assessment of the company’s AI governance framework and routines
- Leads audit assessment of effectiveness of controls supporting the use of AI models and application such as AI model life cycle including model governance, development, validation, on-going monitoring, and model change management.
- Performs review of model development analysis and on-going model performance testing to assess the conceptual soundness of the AI model methodology, reasonableness of the model assumptions and the completeness and accuracy of the model testing.
- Conducts review of the AI model validation analysis to assess the effectiveness of the model validation process. Assesses the completeness and reasonableness of the model assumptions, limitations and independent model testing.
- Provides insightful challenges to management, identifies control deficiencies or enhancement opportunities, conducts root cause investigation, documents and reports audit findings.
- Works closely with teammates from multiple internal audit teams to ensure a comprehensive coverage of model uses across the various lines of business of control functions.
- Works closely with model stakeholders and senior management with regard to communication of audit assessment outcomes
Required Qualifications:
- Master’s Degree or above in a quantitative discipline such as Mathematics, Data Science, Statistics, Finance, Economics, or Engineering
- 3+ years of industry experience relating to AI modelling and model uses in financial/banking sector
Desired Qualifications:
- Prior auditing background preferred
- Experience of development and validation of AI models used in financial/banking sector
Skills:
- Critical Thinking
- Quantitative Development
- Risk Analytics
- Risk Modeling
- Technical Documentation
- Adaptability
- Collaboration
- Problem Solving
- Risk Management
- Test Engineering
- Data Modeling
- Data and Trend Analysis
- Process Performance Measurement
- Research
- Written Communications
Master’s degree in related field or equivalent work experience
1st shift (United States of America)