Internal Audit
Internal Audit
General Responsibilities
- Partner with issue owners and teams to provide guidance, challenge, and quality assurance on the approach to pass IA and Regulatory scrutiny.
- Facilitate execution of the Challenge and Quality Review Framework (1 st LoD self-assessment), through engagement and credible challenge with senior stakeholders, 2 nd and 3 rd LoD.
- Drive compliance of the QC Framework with Accountable Executives and Issue Owners.
- Provide guidance to issue owners on how to best represent a reduction of risk and issue remediation that will pass the scrutiny of IA validation and regulatory review.
- Provide an independent initial assessment and challenge on the remediation and evidence artifacts.
- Work with stakeholders to drive challenge to ensure strategic deliveries meet the letter and spirit of management, regulator, Compliance, or IA concerns.
- Build strong relationships with key stakeholders including issue owners, governance/policy owners, and program leads for intersecting work efforts.
- Execute against multiple competing priorities simultaneously.
- Ensure risks and issues are raised in a timely manner and in accordance with Major Global Bank's policy.
- Ensure all programs understand regulatory feedback and expectations, underlying concerns, and their root causes to make sure their commitments are complete.
- Provide review and challenge of each program's defined scope, assessed gap, target state, and success criteria to ensure it fully addresses the letter and the spirit of the regulatory feedback, broader supervisory expectations and underlying issues and root causes.
- Identify related and interdependent program elements and provide feedback and input to ensure consistency of review and challenge implementation according to developed guidelines.
- Review policies and risk frameworks.
- Governance and project management.
- Be proactive and self-motivated in driving quality and timely reviews/assessments end-to-end.
Set 1
- Data Governance
- Data Quality Management
- Data Lineage & Tracing
- Risk Data Testing
- Data Architecture
- Data Quality Strategy
- Risk Management Skills
- Consumer or Wealth Management Credit Risk Management
- Consumer or Wealth Management Risk Analytics & Reporting
- Capital Analysis and Stress Testing
- Loss Forecasting, CCAR, CECL, and Basel/RWA
- Experience in model development is prerequisite; experience in Market Risk modelling e.g., VaR and Monte Carlo Simulation and/or experience in Counterparty Credit Risk e.g., CVA, exposure profile modelling are strongly preferred.
- Very good programming skills in at least one programming language, Python most preferably.
- Familiarity with regulatory guidance around financial stress testing principles and methodologies (inc. TWD), are strongly preferred.
- Expert in topics related to Model Development Lifecycle and Model Risk Management.
Please see our complete list of jobs at:
www.rmscorp.com