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

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 verbalnarratives 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

Bachelors 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. Were 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 Were committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more: Experience:

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