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Quantitative Financial Engineer Jobs (NOW HIRING)

Duke University

Quantitative Developer

Durham, NC · On-site

$82K - $96K/yr

The Quantitative Developer works with business teams and the senior developers to design and build ... Graduate degree in Finance, Computer Science, or related field focusing on quantitative and risk ...

Duke University

Quantitative Developer

Durham, NC

$82K - $96K/yr

The Quantitative Developer works with business teams and the senior developers to design and build ... Graduate degree in Finance, Computer Science, or related field focusing on quantitative and risk ...

Jobsbridge

Sr Quant QA Engineer

Pasadena, CA

Work closely with quantitative developer, financial engineer, and system QA Engineer in transforming quantitative business requirements and use cases into test cases for model validation, functional ...

Calamos Investments

Quantitative Analyst

Naperville, IL · On-site

$110K/yr

Job Requirements Position requires a Master's degree in Quantitative & Computational Finance, Financial Engineering, Econometrics, Computer Science, Engineering, Math, Physics, or a related field and ...

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Quantitative Financial Engineer information

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$11K

$129.7K

$198K

How much do quantitative financial engineer jobs pay per year?

As of Jun 13, 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.
More about Quantitative Financial Engineer jobs
What cities are hiring for Quantitative Financial Engineer jobs? Cities with the most Quantitative Financial Engineer job openings:
What job categories do people searching Quantitative Financial Engineer jobs look for? The top searched job categories for Quantitative Financial Engineer jobs are:
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Infographic showing various Quantitative Financial Engineer job openings in the United States as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $129,666 per year, or $62.3 per hour.
Quantitative Developer

Quantitative Developer

Duke University

Durham, NC • On-site

$82K - $96K/yr

Full-time

Medical, Dental, Retirement

Posted 12 days ago

Duke University rating

6.5

Company rating: 6.5 out of 10

Based on 54 frontline employees who took The Breakroom Quiz

437th of 536 rated colleges and universities

Job description

Be You. Be Bold. Choose Duke.
Be You.
The Quantitative Developer works with business teams and the senior developers to design and build production systems. They are responsible for building quantitative analytics for reporting and decision making. They surface these results through APIs to make them available to the firm. The Quantitative Developer will be called on to help develop PowerBI dashboards from time to time. In this capacity they work with the reporting team. They spend effort ensuring data and analytics flowing into reports are of the highest quality. The Quantitative Developer may also be called upon leverage their quantitative finance knowledge to deliver ad hoc analyses as required.
Minimum Qualifications
Education/Training
  • Graduate degree in Finance, Computer Science, or related field focusing on quantitative and risk analytics.
  • Preferred graduate of a program that mixes financial theory with application in a programming environment.
  • Equivalent work experience and education will be considered.

Experience
  • Required: 1+ years of experience creating solutions for investment groups.
  • Desired: 3+ years.

OR AN EQUIVALENT COMBINATION OF RELEVANT EDUCATION AND/OR EXPERIENCE
Be Bold.
Work Performed
New Business Process Development
  • Work with relevant business teams, Finance, Risk, Public Securities, etc., to understand the business needs, goals, etc.
  • Work with senior developers and architects to design and develop solutions.
  • Create code using Python, SQL, etc. and validate function with business teams.
  • Develop tests for code and validate outputs. Work with business teams and architects to ensure full test coverage.
  • Create release notes and documentation for any code that is developed.
  • Work with senior developers to create and maintain deployment pipelines for projects.
  • Develop quantitative APIs for business needs.
  • Work with reporting team to create quantitative solutions for reporting.
  • Create PowerBI dashboards as needed.
  • Provide feedback on the evaluation of new quantitative technologies.

Existing Processes Support
  • Work with senior developers to maintain existing systems.
  • Develop new features and functionality as required.
  • Provide feedback to the rest of the engineering team on ways to improve existing processes.
  • Monitor deployed processes and provide support for any issues.

Ad Hoc Quantitative Support
  • Provide quantitative and systems support to business teams as requested.
  • Develop quantitative tools for business needs that might not rise to the level of full engineering project.

Project Planning
  • Work with senior developers to break down projects into development tasks and subtasks and estimate level of effort on them.
  • Keep state of assigned tasks in the work tracking system up to date.
  • Participate in any project planning or status meetings.

Skills
Required
  • Advanced programming skills particularly with Python, SQL, or equivalent.
  • Advanced quantitative knowledge in the field of finance and risk management.
  • Advanced knowledge of investments and concepts related to asset management.
  • 1+ years of experience in the following:
    • Utilizing a general-purpose programming language to develop quantitative solutions to investment problems.
    • In querying, analyzing, and working with data languages and platforms (SQL) to investigate large and diverse data sets.
    • Creating APIs in an enterprise environment for data access and quantitative functions.
  • Experience using LLMs and creating agents to solve business problems.
  • Experience developing projects from concept to completion with production ready code.
  • Demonstrated ability to learn and apply newly emerging technologies depending on the problem.
  • Strong collaboration and communication skills within and across teams to design, and execute business and research questions.
  • Contribute to a motivated work environment by working effectively to achieve common goals.
  • Ability to multitask and work under pressure, meeting deadlines.
  • Unwavering commitment to ethical behavior and professionalism.

Desired
  • Expert programming skills with experience delivering production ready code and solutions.
  • Expert knowledge of investment concepts.
  • Expert quantitative skills in the field of finance and risk management.
  • Strong knowledge of DevOps and CI/CD frameworks.
  • Strong knowledge of Azure concepts. Azure certifications are a big plus.

Choose Duke.
Ready to Make a Difference?
Apply now and help support Duke University through high-quality quantitative analytics and production systems.
Anticipated Pay Range: Duke University provides an annual base salary range for this position as USD $82,000.00 to USD $96,000.00. Duke University considers factors such as (but not limited to) scope and responsibilities of the position; candidate's work experience, education/training, and key skills; internal peer equity; as well as market and organizational considerations when extending an offer.
Your total compensation goes beyond thedollars on your paycheck. Duke provides comprehensive and competitive medical and dental care programs, generous retirement benefits, and a wide array of family-friendly and cultural programs to eligible team members. Learn more at: https://hr.duke.edu/benefits/
Equal Opportunity Employer: Duke is an Equal Opportunity Employer committed to providing employment opportunity without regard to an individual's age, color, disability, gender, gender expression, gender identity, genetic information, national origin, race, religion, (including pregnancy and pregnancy related conditions), sexual orientation, or military status.
Duke aspires to create a community built on collaboration, innovation, creativity, and belonging. Our collective success depends on the robust exchange of ideas-an exchange that is best when the rich diversity of our perspectives, backgrounds, and experiences flourishes. To achieve this exchange, it is essential that all members of the community feel secure and welcome, that the contributions of all individuals are respected, and that all voices are heard. All members of our community have a responsibility to uphold these values.
Essential Physical Job Functions:
Certain jobs at Duke University and Duke University Health System may include essential job functions that require specific physical and/or mental abilities. Additional information and reasonable accommodation(s) can be requested with Duke Access and Accommodations Services (email: DAAS@duke.edu; phone: 919-668-1267).

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About Duke University

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Duke is regarded as one of America's leading research universities. Located in Durham, North Carolina, Duke is positioned in the heart of the Research Triangle, which is ranked annually as one of the best places in the country to work and live. Duke has more than 15,000 students who study and conduct research in its 10 undergraduate, graduate, and professional schools. With about 40,000 employees, Duke is the third largest private employer in North Carolina, and it now has international programs in more than 150 countries.

Industry

Colleges, universities, and professional schools and hospitals

Company size

10,000+ Employees

Headquarters location

Durham, NC, US

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