Risk-Dallas-Vice President, Software Engineering-3704179

Goldman Sachs • Dallas, TX

6d • Onsite

About The Position

Design and implement high-quality, scalable and thoughtful technology solutions leveraging both internal and open-source services. Deliver regular and reliable risk metrics, analytics & insights based on deep understanding of the firm’s businesses and activities via regular reporting, customized risk analysis, systematically generated risk reporting and risk tools. Work with internal teams to develop solution designs and perform User Acceptance Testing in coordination with other Engineering teams in order to integrate and validate newly developed applications. Build robust, systematic & efficient workflows, processes, and procedures around the production of risk analytics for financial & non-financial risk, risk capital and regulatory reporting. Analyze quantitative risk metrics using financial models such as Value at Risk (VaR) and Stress Test measures, to estimate market risk impact on clients and the Firm. Provide training and guidance to junior team members.

Requirements

• Master’s degree (U.S. or foreign equivalent) in Computer Science, Computer Engineering, Financial Engineering, Finance, Mathematics, or a related field and three (3) years of experience in job offered or a related role OR Bachelor’s degree (U.S. or foreign equivalent) in Computer Science, Computer Engineering, Financial Engineering, Finance, Mathematics, or a related field and five (5) years of experience in job offered or a related role.
• Prior experience must include three (3) years of experience (with a Master’s degree) OR five (5) years of experience (with a Bachelor’s degree) with programming for extract transform load (ETL) operations and data analysis (including performance optimization) using languages such as Python, Java, C++, SQL and R.
• Developing data visualization and business intelligence solutions using tools such as Tableau, Alteryx, PowerBI, and front-end technologies and languages.
• Assessing market risk measures using VaR, stress testing and greeks.
• Utilizing statistics, time series analysis, and numerical algorithms.
• Developing risk analytics and interpretation & productivity tools for cultivating insights into risk & capital metric data.

Responsibilities

• Design and implement high-quality, scalable and thoughtful technology solutions leveraging both internal and open-source services.
• Deliver regular and reliable risk metrics, analytics & insights based on deep understanding of the firm’s businesses and activities via regular reporting, customized risk analysis, systematically generated risk reporting and risk tools.
• Work with internal teams to develop solution designs and perform User Acceptance Testing in coordination with other Engineering teams in order to integrate and validate newly developed applications.
• Build robust, systematic & efficient workflows, processes, and procedures around the production of risk analytics for financial & non-financial risk, risk capital and regulatory reporting.
• Analyze quantitative risk metrics using financial models such as Value at Risk (VaR) and Stress Test measures, to estimate market risk impact on clients and the Firm.
• Provide training and guidance to junior team members.

What This Job Offers

• Job Type: Full-time
• Career Level: Manager