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Quantitative Financial Engineer Jobs (NOW HIRING)

Qualifications: - Bachelor's degree in Computer Sciences or a quantitative field (Finance, Mathematics, Data Science, Economics, or Engineering) with equivalent work experience. - Proficiency in ...

Qualifications: - Bachelor's degree in Computer Sciences or a quantitative field (Finance, Mathematics, Data Science, Economics, or Engineering) with equivalent work experience. - Proficiency in ...

Quantitative Researcher

$150K - $200K/yr

Master's degree (US or Foreign Equivalent) in Financial Engineering or a related field and two (2) ... quantitative finance concepts, statistics, and financial markets; mid-frequency alpha research ...

Bachelor's degree in Mathematics, Engineering, Computer Science, Finance, or a related quantitative field * FSA, CFA or an advance degree is preferred * Proficiency in Python and SQL; experience with ...

Quantitative Developer - ALM

New York, NY ยท On-site

$175K - $200K/yr

Bachelor's degree in Mathematics, Engineering, Computer Science, Finance, or a related quantitative field * FSA, CFA or an advance degree is preferred * Proficiency in Python and SQL; experience with ...

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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:
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.
Financial Engineer

Financial Engineer

MerQube Inc

Manhattan, NY โ€ข On-site

Full-time

Posted 2 days ago


Job description

MerQube, established in 2019 by executives from globally recognized financial and technology firms, is at the forefront of disrupting the Index creation and systematic investing landscapes. Utilizing state-of-the-art technology and a cloud-based architecture, MerQube empowers clients to bring innovative ideas to market efficiently. As a Financial Engineer at MerQube, you will be part of a dynamic and growing team, contributing to the evolution of the financial industry.
Position Summary:
We are seeking a highly skilled and motivated Financial Engineer to join our team in Manhattan, New York. Reporting to the Financial Engineering Manager, you will play a crucial role in modeling, creating, backtesting, and launching cutting-edge index strategies primarily focused on options.
Key Responsibilities:
- Develop, model, and backtest new index strategies using Python, with a focus on financial data management.
- Collaborate with the Financial Engineering team to create MerQube branded financial engines and indexing strategies for major financial institutions.
- Interface directly with clients and the platform engineering team, automating processes for daily and historical calculations to construct powerful financial engines.
- Utilize advanced programming skills, especially in Python, to implement distributed systems and adhere to general software engineering principles.
- Work with options data sets and applications such as FactSet, Reuters.
Qualifications:
- Bachelor's degree in Computer Sciences or a quantitative field (Finance, Mathematics, Data Science, Economics, or Engineering) with equivalent work experience.
- Proficiency in Python programming, with a focus on financial data management.
- Strong options knowledge, including pricing, greeks, and portfolio applications is highly desirable.
- Strong interest in financial markets and the intersection of software and quantitative finance.
- Experience with financial data sets and applications (FactSet, Reuters, Morningstar, Bloomberg, Axioma, Barra).
- Excellent communication skills and the ability to collaborate effectively with both clients and internal teams.
What We Offer:
- A stimulating and convivial work environment with ample opportunities for professional growth.
- The freedom to make a real impact in a company at the forefront of financial technology.
- Competitive compensation package with benefits.
If you are a passionate Financial Engineer with a keen interest in disrupting the financial industry using cutting-edge technology, we invite you to join MerQube's journey of innovation. Apply today to be a part of our dynamic team reshaping the future of systematic investing and index creation.
Equal Opportunity Employer:
MerQube is committed to building a diverse and inclusive team. All qualified applicants will be considered without regard to race, color, religion, sex, sexual orientation, gender identity or expression, age, national origin, disability, protected veteran status, or any other factor protected by applicable federal, state, or local laws. If you're the best person for the job, we want you on board!
This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.