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Quantitative Financial Engineer Jobs (NOW HIRING)

Financial Engineer

Manhattan, NY · On-site

$110K - $140K/yr

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 ...

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 ...

Quant Engineer - Vice President

New York, NY · On-site +1

$180K - $210K/yr

Develop robust and scalable quantitative financial models and collaborate closely with quant ... Strong programming skills in Python for data analysis, modeling, and software development * Strong ...

Financial Engineer Location: CA - Westlake Village What you'll do: As a Financial Engineer, you ... Design and implement quantitative frameworks spanning data mining, predictive modeling, and large ...

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We are hiring Financial Analysts / Engineers to operate at the intersection of quantitative modeling, risk management, and high-performance system optimization. This is a deep-ownership role where ...

Bachelor's degree in Computer Science, Mathematics, Quantitative Finance, Physics, Engineering, Financial Engineering, Statistics, or a similar discipline. * 3-5 years of relevant work experience in ...

Quantitative Developer - ALM

New York, NY · 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 ...

Prepare and analyze large loan, deposit, and financial datasets using Structured Query Language or ... Perform regressions, programming routines, and other statistical analyses. Collect and analyze ...

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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 ...

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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 26, 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 July 2026, with employment types broken down into 96% Full Time, 1% Part Time, and 3% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $129,666 per year, or $62.3 per hour.
Financial Engineer

Financial Engineer

MerQube Inc

Manhattan, NY • On-site

$110K - $140K/yr

Full-time

Medical, Dental, Vision, PTO

Posted 13 days ago


Job description

MerQube is an innovative fintech firm, leading the development of cutting-edge technology for indexing and rules-based investing. MerQube offers design and calculation solutions for complex rules-based strategies. Launched in 2019 in New York and San Francisco by a team of index industry veterans and technology experts, MerQube was created to provide a technology focused alternative.
MerQube designs and calculates a wide variety of indices, ranging from thematic to ESG, QIS and delta one, while covering multi-asset, equities, futures as well as options. Leveraging cloud-based architecture and today's most advanced index-tracking technology, MerQube's platform enables its clients to bring ideas to market quickly and efficiently.
Position Overview:
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.

Our Commitment:
At MerQube, we foster a collaborative, fast-moving environment where team members can grow and expand their technical, financial, and leadership skills. We prioritize wellness, work-life balance, and offer flexible working arrangements. We celebrate diversity and welcome team members from all backgrounds, encouraging continuous learning and career growth while playing a key role in transforming the financial industry.
Benefits:
  • Pay that matches your ambition: competitive compensation packages that grow with you
  • Benefits that actually have your back: top-tier medical, dental, vision, and more
  • Work where you work best: flexible arrangements, including hybrid options
  • A team that feels like home: we're building a community-first culture
  • Your wellbeing, prioritized: real investment in health, wellness, and work-life balance
  • Room to grow, fast: hands-on opportunities to learn, level up, and shape your career
  • Lunch is on us: enjoy paid office lunches, because great ideas flow better on a full stomach
  • Time to recharge: generous PTO, holidays, and sick time, because rest fuels great work

This role is based in New York, NY. In accordance with New York's pay transparency law, the annual base salary range for this position is $110,000-$140,000. Actual compensation within this range will be determined by factors such as experience, technical skills, and qualifications relevant to the role. This range reflects base salary only and does not include bonus, equity, or benefits.