Risk Governance Associate: RCSA & AI-Driven Controls

Goldman Sachs; Dallas (TX); On-site; USD 140,000 - 190,000; Full time

Job summary

Goldman Sachs in Dallas, TX seeks an Associate, Risk Governance to lead RCSA initiatives across the enterprise, partnering with engineering teams to identify operational and compliance risks. You will drive risk visualization, automate control evidence collection, and enable policy-as-code in engineering workflows with Generative AI tools.

You will triage incidents, coordinate audit responses, and uplift risk taxonomy while promoting a strong risk culture through training and onboarding for

Qualifications

• Master’s degree (U.S. or foreign equivalent) in Computer Science, Information Systems, Cyber Security, or related field; 1 year of experience OR Bachelor’s degree in same fields; 3 years of experience.
• Experience with risk frameworks (e.g., NIST CSF); statistical analysis to identify trends; visualizing data in risk reports; leveraging analytics and automation to enhance testing and sampling; developing data accuracy processes.

Responsibilities

• Lead and execute division-wide Risk and Control Self-Assessment (RCSA) initiatives.
• Identify operational and compliance risks across engineering processes including SDLC and CI/CD pipelines.
• Advance risk monitoring through dashboards and analytics; implement automated controls and evidence collection.
• Coordinate responses to internal audit findings; prepare materials for risk committees and senior management.

Skills

Risk governance

RCSA

SOX compliance

Data analysis

Root cause analysis

Communication to management

Training & onboarding

Education

Master’s degree in Computer Science / Information Systems / Cyber Security

Bachelor’s degree in Computer Science / Information Systems / Cyber Security

Tools

Tableau

GitHub Copilot

CI/CD

Policy-as-code

Job description

Goldman Sachs in Dallas, TX seeks an Associate, Risk Governance to lead RCSA initiatives across the enterprise, partnering with engineering teams to identify operational and compliance risks. You will drive risk visualization, automate control evidence collection, and enable policy-as-code in engineering workflows with Generative AI tools.

You will triage incidents, coordinate audit responses, and uplift risk taxonomy while promoting a strong risk culture through training and onboarding for