Goldman Sachs is seeking an analytical and intellectually curious Risk Analyst to join their Engineering Division Non-Financial Risk team. This role involves transforming large datasets into insights that inform risk decisions and enhancing the operational risk management framework using AI-enabled tools.
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
Qualification
Required
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
Bachelor's degree in Finance, Economics, Statistics, Data Science, Engineering, or a related quantitative discipline
Preferred
Experience working with operational risk frameworks or governance processes is strongly preferred
Prior exposure to AI-driven analytics or automation tools is a plus
Benefits
Training and development opportunities
Firmwide networks
Benefits
Wellness and personal finance offerings
Mindfulness programs
Reasonable accommodations for candidates with special needs or disabilities during our recruiting process
Goldman Sachs is a multinational financial services firm providing securities, investment banking, and management services.
Glassdoor
3.7
Founded in 1869
New York, New York, USA
10001+ employees
https://www.goldmansachs.com
Goldman Sachs is a multinational financial services firm providing securities, investment banking, and management services.
