Non-Financial Risk - Analyst (Dallas, TX)

Goldman Sachs • Dallas, TX

2d

About The Position

Goldman Sachs is seeking an analytical and intellectually curious Risk Analyst
to join our Engineering Division Non-Financial Risk team. This role is ideal for
someone who thrives on transforming large, complex datasets into meaningful
insights, and who can elevate those insights into clear, compelling visual and
verbal
narratives that drive decision-making. You will play a critical part in
strengthening our risk management framework, enhancing operational resilience,
and leveraging AI-enabled tools to improve efficiency and foresight.

Requirements

• Strong ability to work with large datasets, including data cleaning, transformation, and exploratory analysis.
• Proficiency in analytical tools such as Python, R, SQL, or similar.
• Experience with data visualization platforms such as Tableau and Power BI.
• Ability to translate complex data into clear, intuitive visual stories.
• Understanding of Operational Risk principles, including risk identification, assessment, mitigation, and monitoring.
• Working knowledge of AI concepts and their application in risk analytics, automation, or process optimization.
• Comfort using AI-enabled tools to enhance productivity and insight generation.
• Strong critical thinking and problem-solving skills.
• Excellent communication skills, with the ability to present insights to both technical and non-technical audiences.
• High attention to detail and a commitment to accuracy.
• Ability to work in a fast-paced, high-stakes environment with multiple priorities.

Nice To Haves

• Experience working with operational risk frameworks or governance processes is strongly preferred.
• Prior exposure to AI-driven analytics or automation tools is a plus.

Responsibilities

• Analyze large, diverse datasets to extract information, synthesize knowledge, and distill actionable wisdom that informs risk decisions.
• Develop high-quality data visualizations, dashboards, and presentations that communicate insights to senior stakeholders.
• Support the design, implementation, and monitoring of the Operational Risk Management Framework, including risk assessments, controls testing, and incident analysis.
• Identify emerging risks and trends through quantitative and qualitative analysis.
• Leverage AI and automation tools to streamline workflows, enhance data quality, and improve analytical efficiency.
• Collaborate with cross-functional teams including Op Risk, Compliance, Internal Audit, and Engineering Business Units to ensure alignment on risk practices.
• Participate in control evaluations, and continuous improvement initiatives including monitoring and testing.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Number of Employees: 5,001-10,000 employees