Job Duties: Associate, Risk Governance with Goldman Sachs & Co. LLC in Dallas, Texas. Oversee the Firm’s Insurance Data Analytics & Reporting requirements for external insurance companies, internal operational risk and for external risk reports. Oversee the Firm’s insurance risk information management data base to oversee and support risk, claims and insurance reporting and decision. Design business analysis and perform data visualization to analyze insurance program claims performance, financial impact, trends and aging. Analyze, gather and interpret information necessary for business, claims, and management reporting. Prepare and support insurance submissions, collection of underlying data and coordination with internal stakeholders and operating partners. Utilize natural catastrophe model outputs and actuarial studies to review risk exposure and modify insurance coverage. Ensure the flow of data underneath all analytics is accurate and correct for external and internal financial reporting. Create data quality check and automation on data breaks and reporting. Identify and report on loss trends and financial impacts.
Job Requirements: Master’s degree (U.S. or foreign equivalent) in Quantitative Finance, Data and Quantitative Analytics, Finance or related field and one (1) year of experience in the job offered or in a related risk management role OR Bachelor’s degree (U.S. or foreign equivalent) in Quantitative Finance, Data and Quantitative Analytics, Finance or related field and three (3) years of experience in the job offered or in a related risk management role. Prior experience must include one (1) year of experience with a Master’s degree OR three (3) years of experience with a Bachelor’s degree with: working with large sets of risk exposure to analyze data and maintain the risk information management database using SQL, Alteryx, or Python; creating risk reports and automation of reports using Python, Alteryx, or VBA to quantify operational risk events and trends, counterparty, and credit exposures; using Tableau or Power BI to perform data visualization to interpret risk trends and operational risk losses; and identifying and synthesizing operational risk data and analyze risk exposure.
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