Engineering Division - Dallas - Vice President, Risk Governance - 10427762

Vice President, Risk Governance with Goldman Sachs Services LLC in Dallas, Texas.

Responsibilities

• Identify, analyze, and monitor areas of risk as it pertains to business processes and controls.
• Determine, negotiate, and agree on firm/business quality procedures, standards, and specifications.
• Assess business requirements and ensure these are met; act as a catalyst for change and improvement in performance and quality; monitor performance.
• Ensure appropriate oversight for the risk profile of the aligned segment.
• Establish effective supervisory structures and appropriate segment governance forums, including divisional operational risk and resilience councils (“ORRCs”).
• Attend regular risk meetings to review exceptions across business units, ask probing questions to establish potential market, client, and other risks within aligned workflows.
• Identify risks within the operational risk profile of the segment, including emerging risks.
• Share risk best practices across teams and functions, as well as with other business lines where processes exist or there is exposure to similar risks, to ensure effective controls are in place.
• Assess Inherent Risks (IRs) and Residual Risks (RRs) to ensure Risk and Control Self-Assessment (RCSA) accurately reflects the current risk environment and quality of operational controls.
• Define thematic RCSA issues to structure remediation plans for significant open risks or control deficiencies and aid in executing Control Assurance requirements for in-scope controls.
• Socialize lessons learned to improve the risk and control framework.

Requirements

• Master’s degree (U.S. or foreign equivalent) in Finance, Financial Engineering, Mathematics, or related field and three (3) years of experience in the job offered or a related risk governance role.
• OR Bachelor’s degree (U.S. or foreign equivalent) in Finance, Financial Engineering, Mathematics, or related field and five (5) years of experience in the job offered or a related risk governance role.

Qualifications

Prior experience must include:

• Performing statistically driven analysis using various data analytical techniques to identify trends and propose process enhancements.
• Creating, developing, and enhancing probabilistic and deterministic financial models.
• Leveraging knowledge of regulatory capital regimes, including the Basel and CCAR framework, to calculate and optimize return on equity.
• Running scenario analyses, including stressed loss calculations, to minimize a segment’s exposure to market dislocations and economic shocks, and preparing associated summary presentations for management.
• Visualizing complex data analyses from raw data in risk management reports using tools such as Tableau, and communicating results to a wide variety of audiences.
• Leveraging analytics and automation experience to propose effective and efficient methods to enhance testing and sampling strategies for risk detection and analyses.
• Developing processes and tools to identify and monitor data accuracy.