Engineering- Dallas- Associate, Risk Governance – 10431267

Goldman Sachs Group, Inc.; Dallas (TX); On-site; USD 120,000 - 180,000; Full time

Job summary

Goldman Sachs Group, Inc. in Dallas, Texas seeks an Associate, Risk Governance to lead RCSA initiatives across the enterprise and ensure alignment with regulatory standards.

The role partners with engineering to identify operational and compliance risks, and to optimize risk dashboards and control evidence collection. Responsibilities include designing controls within SDLC and CI/CD pipelines, leveraging AI tools to automate risk work, and preparing materials for Engineering Risk Committees and

Qualifications

• Experience performing statistically driven analysis to identify trends and improve processes.
• Ability to visualize complex risk data and communicate results to diverse audiences.
• Experience using analytics/automation to enhance testing and sampling strategies.

Responsibilities

• Lead and execute Risk and Control Self-Assessment (RCSA) initiatives across the enterprise.
• Design, document, and operationalize preventive/detective controls in engineering workflows.
• Triage incidents, perform root-cause analysis with SRE/engineering leads, and coordinate audit responses.

Skills

Statistical analysis

Data visualization

Analytics and automation

Risk management

Education

Master's degree

Bachelor's degree

Tools

Tableau

Job description

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 management.Partner with engineeringteamstoidentifyoperational risks(e.g.Technologyoperations risks, infosec and cyberrisks, third party risks,data 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 language.Promote 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:Master's 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 Bachelor's 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 role.Prior experience must include one (1) year of experience (with Master's) or three (3) years of experience (with Bachelor's) 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.