Associate Quantitative Engineer

Job Description

Position: Associate, Quantitative Engineering

Location: New York, New York

Goldman Sachs & Co. LLC is seeking a talented Associate in Quantitative Engineering to join our team in New York. This role involves developing, implementing, and documenting scenarios that encompass a wide range of economic and financial variables for various business units within the firm.

Key Responsibilities

Collaborate with internal stakeholders to analyze user needs from a scenario design perspective, addressing data, model, and implementation issues.
Analyze large datasets, both structured and unstructured, to build predictive models of business-relevant financial metrics.
Develop, refine, and improve scenarios by leveraging knowledge in financial markets, economics, current events, statistical analysis, and programming.
Build and challenge models, identifying and quantifying vulnerabilities across financial and economic inputs.
Create and maintain clear and complete technical documentation of the model performance testing approach and process.

Job Requirements

Education:
- Master’s degree in Mathematics, Computer Science, Computational Finance, Financial Engineering, or a related quantitative field with one year of experience in a related role.
- Alternatively, a Bachelor’s degree in the same fields with three years of experience in a related role.
Experience and Skills:
- Proficiency in C++, Java, or Python.
- Experience in developing probabilistic models utilizing financial mathematics principles, including stochastic calculus, no-arbitrage pricing theory, partial differential equations, multivariable calculus, linear algebra, numerical methods, optimization, probability, or random processes.
- Expertise in quantitative analysis and model development using advanced econometric, statistical, and mathematical techniques, including Bayesian analysis, time series analysis, or machine learning algorithms.
- Experience in performing risk management or scenario-based analysis.
- Development of quantitative risk analytics, including factor models.
- Development of rigorous and scalable data management and analysis tools to provide risk oversight and support the business planning process.
- Proficiency in statistics and data-driven performance analysis, including Linear Regression or Time Series Analysis to measure performance.

Salary and Benefits

Salary Range: $149,000 - $172,000 annually.
Benefits: Goldman Sachs offers a comprehensive benefits package, including health insurance, retirement plans, and wellness offerings.

Goldman Sachs is committed to providing a strong overall employee experience and is an equal employment/affirmative action employer. We encourage applications from all qualified individuals, including women, minorities, individuals with disabilities, and veterans.

Join us at Goldman Sachs and be part of a team that is at the forefront of financial innovation and progress.

Benefits
Extracted with AI

Competitive salary
Discretionary bonus
Health insurance
Retirement plans
Wellness offerings

Similar jobs

Last update: 23 minutes ago

Goldman Sachs