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Full Time Partial Differential Equations Jobs (NOW HIRING)

Datacor

Senior Scientific Programmer

Broad experience with applied math and numerical methods for solving science and engineering problems (e.g., matrix algebra, numerical methods for solving partial differential equations). * Earth ...

Datacor

Senior Scientific Programmer

Broad experience with applied math and numerical methods for solving science and engineering problems (e.g., matrix algebra, numerical methods for solving partial differential equations). * Earth ...

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Full Time Partial Differential Equations information

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$55.5K

$74.9K

$102K

How much do full time partial differential equations jobs pay per year?

As of Aug 18, 2026, the average yearly pay for full time partial differential equations in the United States is $74,877.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,500.00 and $93,500.00 per year, depending on experience, location, and employer.

What is a full time partial differential equations job?

Full Time Partial Differential Equations (PDE) jobs refer to positions where professionals work primarily with partial differential equations in a full-time capacity. These roles are typically found in academic research, applied mathematics, engineering, finance, and data science sectors. Duties may include modeling physical phenomena, developing numerical methods, performing simulations, and teaching or publishing research. Candidates usually have advanced degrees in mathematics, physics, or related fields and strong analytical skills. Employers value experience with computational tools and programming languages relevant to solving PDEs.

What are the key skills and qualifications needed to thrive as a partial differential equations specialist?

To thrive as a Partial Differential Equations (PDE) Specialist, you need an advanced degree in mathematics or applied mathematics, with a deep understanding of differential equations and mathematical analysis. Expertise in computational tools such as MATLAB, Mathematica, or Python, and familiarity with numerical methods, is typically required. Strong analytical thinking, problem-solving abilities, and clear communication help you tackle complex problems and explain findings to diverse audiences. These skills are crucial for developing accurate models and solutions in fields like engineering, physics, and finance where PDEs are foundational.

What are the typical collaborative opportunities for someone working full-time in partial differential equations?

Professionals working full-time in Partial Differential Equations often collaborate closely with interdisciplinary teams, including applied mathematicians, physicists, engineers, and computer scientists. These collaborations are crucial for developing mathematical models, analyzing complex systems, and implementing computational solutions. Teamwork typically involves regular meetings to discuss progress, share results, and troubleshoot challenges, especially when working on large-scale research projects or industry applications. Such collaborative environments foster knowledge exchange and can lead to new research directions or innovative applications of PDEs.

What is the difference between Full Time Partial Differential Equations vs Computational Mathematician?

AspectFull Time Partial Differential EquationsComputational Mathematician
Required credentialsAdvanced degrees in mathematics or applied math, specialization in PDEsMathematics, computer science, or engineering degrees, with programming skills
Work environmentResearch labs, academia, or industry R&D teams focused on modelingResearch institutions, tech companies, or academia involving algorithm development
Industry usageEngineering, physics, finance, and applied sciencesData analysis, simulation, algorithm design across various sectors

Full Time Partial Differential Equations specialists focus on solving and analyzing PDEs, often in research or applied contexts. Computational Mathematicians develop algorithms and computational methods, frequently working with PDEs but also broader mathematical problems. Both roles require strong math backgrounds, but their focus areas and work environments differ.

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What are the most commonly searched types of Partial Differential Equations jobs?

The most popular types of Partial Differential Equations jobs are:

What states have the most Full Time Partial Differential Equations jobs?

States with the most job openings for Full Time Partial Differential Equations jobs include:

What job categories do people searching Full Time Partial Differential Equations jobs look for?

The top searched job categories for Full Time Partial Differential Equations jobs are:

Full Time Partial Differential Equations jobs near you
Infographic showing various Full Time Partial Differential Equations job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 16% Part Time, and 3% Nights. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution, with an average salary of $74,877 per year, or $36 per hour.

Global Banking & Markets-New York-Associate, Quantitative Engineering-10452362

Goldman Sachs

New York, NY • On-site

$150K - $189K/yr

Full-time

Posted 6 days ago

Goldman Sachs rating

8.3

Company rating: 8.3 out of 10

Based on 27 frontline employees who took The Breakroom Quiz

47th of 171 rated banks

Job description

Job Duties: Associate, Quantitative Engineering with Goldman Sachs & Co. LLC in New York, New York. Develop, implement, and document 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.

Job Requirements: Master's degree (U.S. or foreign equivalent) in Financial Engineering, Financial Economics, Applied Mathematics, Data Science, Operations Research, or a related field and one (1) year of experience in job offered or a related quantitative engineering role OR Bachelor's degree (U.S. or foreign equivalent) in Financial Engineering, Financial Economics, Applied Mathematics, Data Science, Operations Research, or a related field and two (2) years of experience in job offered or a related quantitative engineering role. Prior experience must include one (1) year of experience (with a Master's degree) OR two (2) years of experience (with a Bachelor's degree) with 5 of the 7 following skills: C++, Java, or Python; developing probability and pricing 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; quantitative analysis and model development 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 quantitative risk analytics, including factor models; developing rigorous and scalable data management and analysis tools to provide risk oversight and support the investment process; 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 $150,000 - $189,000.

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

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