Engineering- Dallas- Associate, Risk Governance –

Job Duties: Associate Risk Governance with Goldman Sachs & Co. LLC in Dallas Texas. Lead and execute division-wide Risk and Control Self-Assessment (RCSA) initiatives across the global enterprise to ensure full alignment with US and international regulatory standards. ConductRisk and Control Self-Assessments (RCSAs)across engineering processes including SDLC CI/CD pipelines cloud infrastructure and production change with engineeringteamstoidentifyoperational risks( risks infosec and cyberrisks third party risksdata loss) andcompliance risks(e.g. data privacy records management regulatory reporting integrity).Drive the review and optimization of analytical tools and dashboards to streamline the assessment visualization and reporting of RCSA and SOX mandates. Design document and operationalize preventive and detective controls embedded within engineering workflows (e.g. automated policy-as-code pipeline gates access provisioning checks). Use Generative AI tools (e.g. GitHub Copilot internal LLM copilots agentic workflow platforms) to automate control evidence collection and summarization draft policies risk assessments and audit responses and triage and classify incidents and risk events at scale. Triage operational incidents and near-misses originating from engineering systems; perform root-cause analysis with SRE and engineering leads. Coordinate responses to internal audit findings 2LoD challenge related to engineering processes. Prepare materials for Engineering Risk Committees and senior management forums; translate technical risk into business a strong risk culture through training lunch-and-learns and onboarding for new engineers. Uplift risk taxonomy to reflect changes to risk profile for the Engineering Division - Identify new controls to effectively mitigate any gaps in risk exposure. Recommend best practices for design and execution of controls testing within GS Engineering areas and to validate the remediation of identified system control weaknesses utilizing various techniques such as data analysis code review re-performance of processing logic observation and interviews to evaluate the adequacy of operational and compliance risks and controls.

Job Requirements:Masters degree (U.S. or foreign equivalent) in Computer Science Information Systems Management Science Cyber Security or a related field and one (1) year of experience in the job offered or in a related role OR Bachelors degree (U.S. or foreign equivalent) in Computer Science Information Systems Management Science Cyber Security or a related field and three (3) years of experience in the job offered or in a related experience must include one (1) year of experience (with Masters) or three (3) years of experience (with Bachelors) with each of the following: risk Frameworks including NIST Cybersecurity Framework (CSF); performing statistically driven analysis using various data analytical techniques to identify trends and propose process enhancements; visualizing complex data analyses from raw data in risk management reports using visualization 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 to ensure the most effective risk detection and analyses; and developing processes and tools to identify and monitor data accuracy.

The Goldman Sachs Group Inc. 2026. All rights reserved. Goldman Sachs is an equal opportunity employer and does not discriminate on the basis of race color religion sex national origin age veteran status disability or any other characteristic protected by applicable law.