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Vp Quantitative Modeling Jobs (NOW HIRING)

Harbourvest Partners (U.K.) Limited

$200K - $210K/yr

Familiarity with data science, quantitative modeling, and/or statistical techniques is a plus Base Salary Range $200,000.00 - $210,000.00 This USD base salary range represents only one component of ...

BNP Paribas

Vice President

New York, NY · On-site

$165K - $220K/yr

Vice President Location: 787 Seventh Avenue, New York, NY 10019 Duties:Learn and implement new ... Quantitative model research, calibration, and validation for credit products (securities ...

JPMorgan Chase & Co.

You will be involved in comprehensive analytics, models, and tools used in various trading ... As a Vice President on our Credit Quantitative Trading and Research team, you will have the ...

National Black MBA Association

This job is responsible for conducting quantitative analytics and modeling projects for specific business units or risk types. Key responsibilities include developing new models, analytic processes ...

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Vp Quantitative Modeling information

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$43.5K

$157.5K

$277.5K

How much do vp quantitative modeling jobs pay per year?

As of Sep 11, 2026, the average yearly pay for vp quantitative modeling 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 does a VP of Quantitative Modeling do?

A VP of Quantitative Modeling leads teams that develop mathematical models used to assess risk, price financial products, and support business decisions in areas like banking, investment, and insurance. They oversee the creation and validation of complex models, ensure regulatory compliance, and communicate findings to senior management. Their role typically combines advanced analytics, project management, and strategic leadership to drive data-driven decision-making across the organization.

What are the key skills and qualifications needed to thrive as a VP Quantitative Modeling?

To thrive as a VP Quantitative Modeling, you need advanced quantitative and analytical skills, a strong background in mathematics, statistics, or financial engineering, and typically a master's or PhD in a related field. Expertise in programming languages such as Python, R, or C++, as well as experience with risk modeling systems and relevant industry certifications (e.g., CFA or FRM), is highly valued. Exceptional problem-solving abilities, leadership, and effective communication with both technical and non-technical stakeholders distinguish top performers. These skills ensure the development of robust financial models, drive informed decision-making, and support organizational objectives in complex financial environments.

How does a VP of Quantitative Modeling typically collaborate with other departments within a financial institution?

A VP of Quantitative Modeling often works closely with teams such as risk management, trading, IT, and senior management. They translate complex quantitative analyses into actionable insights for decision-makers, ensuring that models align with business objectives and regulatory requirements. Regular collaboration with IT is also common to implement models into production systems, while coordination with risk and trading desks helps fine-tune strategies and assess model performance. This cross-functional teamwork is essential for achieving robust, compliant, and business-driven modeling outcomes.

What is the difference between Vp Quantitative Modeling vs Quantitative Analyst?

AspectVp Quantitative ModelingQuantitative Analyst
Required CredentialsAdvanced degrees (Master's/PhD), strong programming skills, financial modeling experienceBachelor's or Master's, strong analytical and programming skills
Work EnvironmentStrategic, leadership-focused, overseeing teams and modelsHands-on analysis, model development, data analysis
Employer & Industry UsageFinancial institutions, hedge funds, asset managersInvestment banks, asset management firms, hedge funds

While both roles involve quantitative skills, Vp Quantitative Modeling typically involves strategic oversight and leadership in model development, whereas Quantitative Analysts focus on hands-on data analysis and model building. The VP role is more senior, with broader responsibilities and leadership expectations.

What are the most commonly searched types of Quantitative Modeling jobs?

The most popular types of Quantitative Modeling jobs are:

What are popular job titles related to Vp Quantitative Modeling jobs?

For Vp Quantitative Modeling jobs, the most frequently searched job titles are:

Infographic showing various Vp Quantitative Modeling job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 87% Full Time, 10% Part Time, and 2% Contract. Highlights an 81% Physical, 4% Hybrid, and 15% Remote job distribution, with an average salary of $157,532 per year, or $75.7 per hour.

Asset & Wealth Management-Salt Lake City-Vice President, Quantitative Engineering-10412228

Salt Lake City, UT • On-site

Goldman Sachs, Inc.
Finance and Insurance • 10K+ employees
Learn more about Goldman Sachs, Inc.external

$174K - $224K/yr

Full-time

Re-posted yesterday

Goldman Sachs rating

7.8

Company rating: 7.8 out of 10

Based on 28 frontline employees who took The Breakroom Quiz

Job description


Job Duties: Vice President, Quantitative Engineering with Goldman Sachs & Co. LLC in Salt Lake City, Utah. Lead the development, implementation, and documentation of scenarios comprised of a broad range of economic and financial variables for businesses within the Firm. 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. Develop, refine, and improve scenarios by leveraging knowledge in financial markets, economics, current events, statistical analysis, and programming.Build and challenge risk models, identify and quantify vulnerabilities across market, credit, liquidity risk and modeling.Create and maintain clear and complete technical documentation of the risk-model performance testing approach and process.Mentor junior and mid-level team members.
Job Requirements: Master's degree (U.S. or foreign equivalent) in Mathematics, Computer Science, Financial Engineering, Computational Finance, Applied Mathematics, or related quantitative field 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, Computational Finance, Applied Mathematics, or related quantitative field and five (5) years of experience in job offered or a related quantitative engineering role OR PhD degree (U.S. or foreign equivalent) in Mathematics, Computer Science, Financial Engineering, Computational Finance, Applied Mathematics, or related quantitative field and one (1) year of experience in job offered or a related quantitative engineering role. Prior experience must include three (3) years of experience (with a Master's degree) OR five (5) years of experience (with a Bachelor's degree) OR one (1) year of experience (with a PhD degree) with 5 of the 8 following skills: C++, Java, or Python; performing financial mathematics, including at least one of the following: stochastic calculus, no-arbitrage pricing theory, multivariable calculus, linear algebra, probability theory, numerical methods, or Monte-Carlo techniques; performing analysis leveraging market risk, credit risk, liquidity risk, or mathematical finance concepts; object-oriented programming and scripting programming languages such as Python or Java; implementing mathematical models or analytics in production-quality software; working with database query languages, such as SQL, MongoDB, or other data management tools to process large datasets; applying algorithms or data structures to write complex programs; and developing pricing models for financial products to model risk, economics, and cash flows under normal and distressed market environments.
©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

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