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Quantitative Financial Engineer Jobs (NOW HIRING)

Jay Analytix

Quantitative Developer

New York, NY · Hybrid

Quantitative Developer Location: New York, USA - Hybrid Employment Type: Contract About the Role We ... This role focuses on building and implementing financial models, analytics, and pricing systems ...

Jay Analytix

Quantitative Developer

Jersey City, NJ · Hybrid

Quantitative Developer Location: New Jersey, Jersey City, USA - Hybrid Employment Type: Contract ... This role focuses on building and implementing financial models, analytics, and pricing systems ...

Jay Analytix Inc

Quantitative Developer

New York, NY · On-site

Quantitative Developer Location: New York, USA - Hybrid Employment Type: Contract About the Role We ... This role focuses on building and implementing financial models, analytics, and pricing systems ...

Jay Analytix

Quantitative Developer

New York, NY · On-site

Quantitative Developer Location: New York, USA Hybrid Employment Type: Contract About the Role We ... This role focuses on building and implementing financial models, analytics, and pricing systems ...

Jay Analytix

Quantitative Developer

Jersey City, NJ · On-site

Quantitative Developer Location: New Jersey, Jersey City, USA Hybrid Employment Type: Contract ... This role focuses on building and implementing financial models, analytics, and pricing systems ...

Apply Early

Collabera

Quantitative Analyst

Charlotte, NC · On-site

Senior Quant Developer / Quantitative Modeler Location: Hybrid role in Charlotte, NC 28202 (3 day ... Financial Engineering) Experience with exposure models (PFE/EPE/EAD) Note: The Company offers the ...

Collabera LLC

Quantitative Analyst

Charlotte, NC · On-site

Senior Quant Developer / Quantitative Modeler Location: Hybrid role in Charlotte, NC 28202 (3 day ... Strong mathematical background (Statistics, Stochastic Calculus, Financial Engineering)

Anson McCade

Quantitative Researcher

Manhattan, NY · On-site

$200K/yr

Master's degree or PhD in a quantitative field such as Mathematics, Statistics, Physics, Engineering, Computer Science, Financial Engineering, Quantitative Finance, or a related discipline. * Strong ...

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Quantitative Financial Engineer information

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$129.7K

$198K

How much do quantitative financial engineer jobs pay per year?

As of Jul 5, 2026, the average yearly pay for quantitative financial engineer in the United States is $129,666.00, according to ZipRecruiter salary data. Most workers in this role earn between $116,500.00 and $138,500.00 per year, depending on experience, location, and employer.

What are Quantitative Financial Engineers?

Quantitative Financial Engineers, often known as 'quants,' are professionals who use advanced mathematical models, statistical techniques, and programming skills to analyze financial data and develop strategies for pricing, trading, and risk management in financial markets. They play a crucial role in investment banks, hedge funds, and other financial institutions by creating models that help optimize trading strategies and manage financial risks. Quants typically have strong backgrounds in mathematics, physics, engineering, or computer science, and are proficient in programming languages such as Python, R, or C++. Their work supports decision-making in areas like algorithmic trading, derivatives pricing, and portfolio management.

What is the difference between Quantitative Financial Engineer vs Quantitative Analyst?

AspectQuantitative Financial EngineerQuantitative Analyst
Required CredentialsAdvanced degrees in math, finance, or engineering; certifications like CFA or FRMTypically similar; advanced degrees preferred, certifications optional
Work EnvironmentDevelops models, algorithms, and trading systems; often in tech-driven finance firmsAnalyzes data, assesses risk, and supports trading strategies; in investment banks or asset management
Employer & Industry UsageHired by hedge funds, investment banks, proprietary trading firmsEmployed across asset management, banks, and financial institutions

While both roles require strong quantitative skills and advanced education, Quantitative Financial Engineers focus on developing complex models and trading algorithms, often working in tech-driven environments. Quantitative Analysts primarily analyze data and support trading decisions. The roles are complementary but differ in focus and responsibilities.

How does a Quantitative Financial Engineer typically collaborate with traders and software developers in daily workflows?

Quantitative Financial Engineers often work closely with traders to understand their strategies and translate trading ideas into mathematical models. They also collaborate with software developers to ensure these models are efficiently implemented into trading systems, requiring clear communication and iterative feedback. This cross-functional teamwork is essential to quickly adapt to changing market conditions and maintain robust trading infrastructure. As a result, strong interpersonal skills and the ability to explain complex quantitative concepts to non-specialists are key to success in this role.

What are the key skills and qualifications needed to thrive as a Quantitative Financial Engineer, and why are they important?

To thrive as a Quantitative Financial Engineer, you need strong mathematical and statistical skills, advanced programming abilities (often in Python, C++, or R), and a degree in quantitative fields such as mathematics, finance, engineering, or physics. Familiarity with financial modeling software, statistical analysis tools, and platforms like MATLAB or Bloomberg Terminal is typically required, along with certifications such as CFA or FRM being advantageous. Exceptional problem-solving skills, attention to detail, and the ability to communicate complex concepts clearly are essential soft skills in this field. These competencies are vital for developing accurate financial models, managing risk, and supporting data-driven investment decisions in a competitive financial environment.
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Quantitative Financial Engineer jobs near you
Global Banking & Markets - New York - Associate, Quantitative Engineering - 4195191

Global Banking & Markets - New York - Associate, Quantitative Engineering - 4195191

Goldman Sachs, Inc.

New York, NY

$113K - $155K/yr

Other

Posted 23 days ago

Goldman Sachs rating

8.2

Company rating: 8.2 out of 10

Based on 26 frontline employees who took The Breakroom Quiz

39th of 144 rated banks

Job description

Job Duties: Associate, Quantitative Engineering with Goldman Sachs Services LLC in New York, New York. Artificial Intelligence (AI) Quantitative role on Applied AI Team. Deploy AI-based quantitative technologies to drive revenue generation and innovation within the firm. Leverage advanced knowledge in computer science, statistics, artificial intelligence, and machine learning to address unique challenges and redefine possibilities at the intersection of Quantitative Finance and AI. Collaborate with various teams and divisions on pioneering projects that integrate artificial intelligence with quantitative finance, such as Time Series Forecasting, Market making, and Pricing. Address the specific challenges that arise when applying these techniques to the financial sector and push the state-of-the-art in AI for Quantitative Finance. Design, train, and deploy scalable AI models to drive commercial outcomes. Conduct experiments and analysis to enhance model performance. Collaborate effectively with colleagues to advance the production of machine learning systems and applications. Develop, test, and maintain high-quality, production-ready code.

Job Requirements: Master's degree (U.S. or foreign equivalent) in Computer Science, Financial Engineering, Applied Mathematics, or related quantitative field and one (1) year of experience in job offered or a related role OR Bachelor's degree (U.S. or foreign equivalent) in Computer Science, Financial Engineering, Applied Mathematics, or related quantitative field and three (3) years of experience in job offered or a related role. Prior experience must include one (1) year of experience (with a Master's degree) OR three (3) years of experience (with a Bachelor's degree) with: Working in an Artificial Intelligence (AI) Quantitative role; C++, Java or Python programming language; data structures, algorithms, and software engineering practices; machine Learning, Deep Learning, Large Language Models, and Time Series Forecasting algorithms; ML libraries and frameworks, including TensorFlow, PyTorch, scikit-learn, and Keras; big Data Technologies and MLOps tools such as Kubeflow or MLflow in production; and Financial markets, market making, or asset pricing.

Salary Range: Annual base salary for this New York, New York-based position is $113,000 - $155,600.

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

Sourced by ZipRecruiter

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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