ZipRecruiter

Log In

Quantitative Engineering Design

60 jobs near Columbus, OH

WallStreetQuants

Entry-Level Quantitative Developer

... design through testing and production support. Benefits What We Offer - Hands-on development across quantitative systems, market data, research platforms, performance engineering, and production ...

Goldman Sachs Bank AG

Collaborate with internal stakeholders, analyzing user needs from a scenario design perspective and ... related quantitative engineering role OR Bachelor's degree (U.S. or foreign equivalent) in ...

Social Leverage LLC

Quant Developer

Manhattan, NY · On-site

Quantitative Engineering & Algorithm Development: You will live at the intersection of mathematics, finance, and software engineering. You will own the design, implementation, and optimization of the ...

Frec Markets, Inc

Quant Developer

New York, NY · On-site

Quantitative Engineering & Algorithm Development: You will live at the intersection of mathematics, finance, and software engineering. You will own the design, implementation, and optimization of the ...

Frec Markets, Inc

Quant Developer

New York, NY · On-site

$200K - $300K/yr

Quantitative Engineering & Algorithm Development: You will live at the intersection of mathematics, finance, and software engineering. You will own the design, implementation, and optimization of the ...

Frec Markets, Inc.

Quant Developer

Manhattan, NY · On-site

Quantitative Engineering & Algorithm Development: You will live at the intersection of mathematics, finance, and software engineering. You will own the design, implementation, and optimization of the ...

next page

Showing results 1-20

Vice President, Quantitative Engineering

Manhattan, NY • On-site

New York Times
See more jobs at New York Timesexternal

$191K - $236K/yr

Other

Posted 27 days ago

Job description

Vice President, Quantitative Engineering with Goldman Sachs Services LLC in New York, New York. Lead the design, development, implementation, and documentation of advanced quantitative models and scenarios for time series forecasting. Incorporate economic, financial, and business-risk variables to address practical issues in finance and risk management and conduct uncertainty quantification.

Requirements

Requires:

  • PhD degree (U.S. or foreign equivalent) in Mathematics, Computer Science, Financial Engineering, Applied Mathematics, or related quantitative field such as Statistics and one (1) year of experience in job offered or a related quantitative engineering role OR
  • Master’s degree (U.S. or foreign equivalent) in Mathematics, Computer Science, Financial Engineering, Applied Mathematics, or related quantitative field such as Statistics and three (3) years of experience in job offered or a related quantitative engineering role OR
  • Bachelor’s degree (U.S. or foreign equivalent) in Mathematics, Computer Science, Financial Engineering, Applied Mathematics, or related quantitative field such as Statistics and five (5) years of experience in job offered or a related quantitative engineering role.
Skills & Experience
  • Programming Languages including C++, R, or Python.
  • Econometrics and Time-Series Analysis including modern time-series econometric techniques for forecasting, structural-break analysis, and regime-switching analysis.
  • Simulation and Uncertainty Quantification including Monte Carlo simulation and modern Conformal Prediction methods for uncertainty quantification.
  • Machine Learning and non-parametric statistics including statistical learning methods with emphasis on explainable ML, causal model selection, and hyperparameter tuning.
  • Production Cloud Deployment including implementation of mathematical and statistical models in scalable, production-grade cloud environments.
  • Data Management including management and processing of large-scale structured and unstructured datasets using database query languages and data management tools.
  • Model Validation and Documentation including design and execution of simulation studies, validation and theoretical justification, and production of comprehensive model risk documentation to support independent Model Risk Management (MRM) validation.
  • AI Agent Development including common agentic framework and context management, harness engineering, multi-agent orchestration, knowledge base integration, and safe code execution.

Job Code: 10427773.

Salary Range: Annual base salary for this New York, New York-based position is $191,000 - $236,800.

Goldman Sachs is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, national origin, age, veteran status, disability, or any other characteristic protected by applicable law.

©The Goldman Sachs Group, Inc.,2026. All rights reserved.

#J-18808-Ljbffr

Apply