Job Description

The Operational Risk Department at Goldman Sachs is an independent risk management function responsible for developing and implementing a standardized framework to identify, measure, and monitor operational risk across the firm. 

Position Overview:

The Data Management Operational Risk team is a 2nd Line of Defense (2LoD) team with a focus on independently overseeing and challenging the Data Management and Governance process.  

We are seeking a candidate to support the team’s efforts in oversight of Data management operational risks. This role requires understanding of data quality management as well as understanding of a financial institution’s operational risk management framework (ORMF) elements. 

Responsibilities:

• Support creation of a 2LoD metrics program to adopt a qualitative/quantitative approach for ongoing monitoring, triggers, escalation, and mitigating actions of the relevant control vulnerabilities and risk profile changes 
• Facilitate operational risk event management framework and data collection, including the detailed reviews of significant events to ensure appropriate remediation plans are implemented, and identification of trends to identify significant or emerging risks.
• Facilitate challenge of 1st line RCSA and Control Assessment ratings to ensure appropriate measurement approach, rationale and evidencing has been employed.
• Contribute to the documentation of operational risk methods and practices in detailed desktop procedure documents
• Create Management reporting using Alteryx, Tableau, or other cutting-edge visual interface-based tools. 
• Develop analytical reports and presentations for senior management, executive committees, and regulatory exams.
• Review and evaluate new business initiatives and firm acquisitions to identify changes to the operational risk profile of the division.

Qualifications and skills

• Bachelor’s degree or equivalent required
• 1-3+ years of experience in risk management or related areas within the financial services industry preferred
• Familiarity with enterprise risk management and operational risk management best-practices and controls
• Proficient in data analysis and reporting
• Exceptional analytical skills with the ability to synthesize complex data and provide strategic insights in written and verbal form.
• Excellent communication and presentation skills
• Experience in working in a team setting 
• Proficient in Excel, PowerPoint, and SharePoint – Tableau & SQL are a plus

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