Engineering - Non-Financial Risk - Analyst (Dallas, TX)

Job Description

About the Role

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.

Key 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.

Required Skills & Competencies

Data & Analytical Expertise

• 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.

Operational Risk & Governance Knowledge

• Understanding of Operational Risk principles, including risk identification, assessment, mitigation, and monitoring.

AI Fluency

• 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.

Professional Competencies

• 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.

Experience

• Experience working with operational risk frameworks or governance processes is strongly preferred.

• Prior exposure to AI-driven analytics or automation tools is a plus.

Educational Qualifications

• Bachelor's degree in Finance, Economics, Statistics, Data Science, Engineering, or a related quantitative discipline.

ABOUT GOLDMAN SACHS

At Goldman Sachs, we commit our people, capital, and ideas to help our clients, shareholders, and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities, and investment management firm. Headquartered in New York, we maintain offices around the world. We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. Learn more about our culture, benefits, and people at GS.com/careers. We're committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more: