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Quantitative Financial Engineer Jobs (NOW HIRING)

Quantitative Associate

Manhattan, NY · On-site

$120K - $150K/yr

Advanced degree (MS or PhD) in Quantitative Finance, Financial Engineering, Mathematics, Statistics, Computer Science, or related field. * 3-5 years of experience in quantitative research, portfolio ...

... Financial Engineering, or similar * 1-3 years of research or industry experience in quantitative finance, systematic trading, or applied ML / data science * Strong programming skills in Python ...

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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 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.
More about Quantitative Financial Engineer jobs
What cities are hiring for Quantitative Financial Engineer jobs? Cities with the most Quantitative Financial Engineer job openings:
Staff Quantitative Developer

Staff Quantitative Developer

Clearwater Analytics

New York, NY • On-site

$179K - $243K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 3 days ago


Job description

About the Role
Clearwater Analytics is the leading SaaS platform for investment accounting, risk, and performance, serving the world's largest insurance companies, asset managers, and institutional investors. As a Risk Quantitative Developer, you will play a critical role within the Quant team, helping to enhance and expand our Multi-Asset-Class risk analytics capabilities, including instrument valuation and risk estimation methods. You will work closely with cross-functional teams of developers and interact directly with clients to deliver solutions that focus on both developers and end-users, with a primary emphasis on risk management.
Responsibilities
Quantitative Development
  • Design, implement, and maintain pricing libraries and risk models covering Fixed Income, Credit, and Derivatives instruments.
  • Build platform capabilities for scenario analysis, risk sensitivities (DV01, CS01, Greeks), P&L attribution, and cash flow generation.
  • Identify and advocate for new models and design patterns to support an evolving instrument universe and client base.

Technical Development
  • Design and build robust, maintainable software systems with a focus on performance, correctness, and extensibility.
  • Write clean, well-tested code and contribute to code reviews, technical documentation, and shared libraries.
  • Proactively identify and resolve technical debt, performance bottlenecks, and gaps in test coverage.

Collaboration & Mentorship
  • Mentor engineers at all levels and contribute to a culture of continuous learning.
  • Engage directly with clients to deliver customized risk solutions and platform integrations.
  • Communicate complex quantitative topics clearly to technical and non-technical stakeholders alike.

Required Qualifications
Experience & Skills
  • 9+ years of quantitative development in financial services, preferably in a front-office or risk technology environment.
  • Expertise in risk and valuation analytics across Fixed Income, Credit, and/or Derivatives asset classes.
  • Strong Python proficiency; experience with C++ or Java is a plus.
  • Solid grounding in quantitative finance: yield curve construction, credit spread modeling, and standard risk sensitivities.
  • Experience with distributed systems and microservices on public cloud (AWS, Azure, or GCP).
  • Proven ability to lead technical delivery across multi-team projects as a tech lead or senior contributor.

Education
  • Bachelor's or Master's degree in Mathematics, Physics, Financial Engineering, Computer Science, or a related quantitative field.

Salary Range
$179,400.00 - $243,136.45
This is the pay range the Company believes it will pay for this position at the time of this posting. Consistent with applicable law, compensation will be determined based on relevant experience, other job-related qualifications/skills, and geographic location (to account for comparative cost of living). The Company reserves the right to modify this pay range at any time. For this role, benefits include: health/vision/dental insurance, 401(k), PTO, parental leave, and medical leave, STD/LTD insurance benefits. Clearwater Analytics is An Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status, age or any other federally protected class.