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Vice President Time Series Analysis Jobs (NOW HIRING)

VP of Engineering

Austin, TX · Remote

$200K - $230K/yr

Job Overview: We're hiring a hands-on VP of Engineering (CTO-equivalent) to lead architecture and ... vibration/thermal/time -series sensors, PLC signals via OPC-UA/Modbus), multimodal ingestion ...

?? Vice President, Equity Capital Markets (ECM) Origination Firm Overview [Insert Global Bank Name] is ... analysis. * Series 79 and Series 63 licenses (or willingness to obtain them immediately upon ...

?? Vice President, Equity Capital Markets (ECM) Origination Firm Overview [Insert Global Bank Name] is ... analysis. * Series 79 and Series 63 licenses (or willingness to obtain them immediately upon ...

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Showing results 1-20

Vice President Time Series Analysis information

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$43.5K

$157.5K

$277.5K

How much do vice president time series analysis jobs pay per year?

As of Aug 21, 2026, the average yearly pay for vice president time series analysis in the United States is $157,532.00, according to ZipRecruiter salary data. Most workers in this role earn between $115,000.00 and $190,000.00 per year, depending on experience, location, and employer.

What cities are hiring for Vice President Time Series Analysis jobs?

Cities with the most Vice President Time Series Analysis job openings:

What are the most commonly searched types of Time Series Analysis jobs?

The most popular types of Time Series Analysis jobs are:

What states have the most Vice President Time Series Analysis jobs?

States with the most job openings for Vice President Time Series Analysis jobs include:

Infographic showing various Vice President Time Series Analysis job openings in the United States as of August 2026, with employment types broken down into 83% Full Time, 13% Part Time, and 4% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $157,532 per year, or $75.7 per hour.

Vice President, Quantitative Engineering

New York Times

Manhattan, NY • On-site

$191 - $237/hr

Other

Posted 3 days ago

New


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.

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