The Associate, Quantitative Engineering role at Goldman Sachs involves developing and implementing scenarios that encompass a variety of economic and financial variables. The position requires collaboration with internal stakeholders to analyze user needs and address data and model issues. The focus is on analyzing large data sets to build predictive models relevant to market variables. Additionally, the role includes building risk models and maintaining technical documentation of risk-model performance testing.

• Master’s degree in a related quantitative field and one year of experience in a quantitative engineering role, or a Bachelor's degree and two years of experience.
• Experience with C++, Java, or Python.
• Knowledge of financial mathematics principles, including stochastic calculus and no-arbitrage pricing theory.
• Experience in quantitative analysis and model development using advanced statistical techniques.
• Familiarity with risk management or scenario-based analysis.

• Develop, implement, and document scenarios for businesses within the Firm.
• Collaborate with internal stakeholders to analyze user needs from a scenario design perspective.
• Analyze large data sets to build predictive models of market variables.
• Build and challenge risk models to identify vulnerabilities across various risks.
• Create and maintain technical documentation of risk-model performance testing.

• 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.