Quantitative Engineering, Risk Economics Strats, Dallas, Associate

Job Description

Risk Engineering position within Goldman Sachs focusing on developing macroeconomic and financial scenarios, statistical models, and analyzing risk metrics for effective risk management.

Requirements

• Proficiency in Python (preferred) and/or Java/Scala
• Familiarity with SQL for data manipulation
• Experience with ML/AI Frameworks, Data Engineering, APIs and Microservices, Model Deployment, Cloud Platforms, and Infrastructure as Code
• Understanding of credit scoring, risk modeling, and financial statement analysis
• Experience with private and public credit data sources and structured/unstructured financial data

Responsibilities

• Developing macroeconomic and financial scenarios for firm-wide scenario-based risk management
• Implementing statistical models for credit loss forecasting and regulatory stress testing
• Analyzing risk metrics to extract valuable insights about the firm’s exposures
• Interfacing with various divisional, finance, and risk management groups across the firm

Benefits

• Employees at Goldman Sachs are often offered comprehensive benefits, including medical, dental, life and disability coverage, generous vacation and holidays, and robust wellness resources such as EAP counseling, medical advocacy, on-site/virtual health services, and fitness support. Financial perks typically include retirement savings programs, live financial education, education support, and wealth-creation opportunities through equity awards and select investment programs. Many locations also provide family benefits (childcare resources, parental and family leaves, adoption/surrogacy support) and flexible work options like part-time schedules, job sharing, telecommuting, and alternate hours.