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Vice President Time Series Analysis Jobs (NOW HIRING)

DAT.com Application Deadline: 6/15/2026 The Opportunity DAT is looking for a VP of Freight ... Quantitative depth: rate forecasting, statistical modeling, time-series analysis * Cross-functional ...

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

As of Jul 29, 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 July 2026, with employment types broken down into 85% Full Time, 13% Part Time, and 2% Contract. Highlights an 80% Physical, 5% Hybrid, and 15% Remote job distribution, with an average salary of $157,532 per year, or $75.7 per hour.
Global Banking & Markets - New York - Vice President, Quantitative Engineering - 3937401

Global Banking & Markets - New York - Vice President, Quantitative Engineering - 3937401

Goldman Sachs, Inc.

New York, NY • On-site

$74K - $276K/yr

Full-time

This job post has expired today. Applications are no longer accepted.


Goldman Sachs rating

8.3

Company rating: 8.3 out of 10

Based on 27 frontline employees who took The Breakroom Quiz

47th of 170 rated banks


Job description


Job Duties: Vice President, Quantitative Engineering with Goldman Sachs & Co. LLC in New York, New York. Collaborate with internal stakeholders, analyzing user needs from a scenario design perspective and addressing data, model, and implementation issues. Analyze large data sets (structured and unstructured) to build predictive models of business-relevant market variables. Lead the development, implementation, and documentation of scenarios comprised of a broad range of economic and financial variables for businesses within the Firm. Develop, maintain, and improve electronic trading systems for the hedging of interest rate products. Implement data-driven algorithms with statistical models across multiple interest rate products to identify and generate revenue opportunities. Build and implement electronic trading algorithms while and utilizing historical quantitative data to benchmark and improve algorithm performance against market-based metrics. Communicate with line trading and sales on day-to-day issues and short-term feature requests, as well as long-term requests and strategic direction. Mentor junior and mid-level team members.
Job Requirements: Bachelor's degree (U.S. or foreign equivalent) in Mathematics, Computer Science, Financial Engineering, Applied Mathematics, or related quantitative field and four (4) years of experience in job offered or a related role. Prior experience must include four (4) years of experience with the following skills: C++, Java, or Python; developing automated quoting, risk management, hedging and execution algorithms; quantitative analysis using advanced econometric, statistical, and mathematical techniques, including Bayesian analysis, time series analysis, or machine learning algorithms ; performing risk management or scenario-based analysis; developing rigorous and scalable data management and analysis tools to provide risk oversight and support the investment process; and statistics and data driven performance analysis, including Linear Regression or Time Series Analysis to measure performance.
Salary Range: Annual base salary for this New York, New York -based position is $74,000 - $276,000.
©The Goldman Sachs Group, Inc., 2026. All rights reserved. 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.

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About Goldman Sachs

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At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world. We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

New York, NY, US

Year founded

1869