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Quantitative Engineer Jobs (NOW HIRING)

The Right Click, Inc.

Quant Developer

Wellington, FL · Hybrid

Our client is seeking a Quantitative Developer to support and enhance a high-performance systematic trading platform. The ideal candidate enjoys building robust systems, working with complex datasets ...

Vatic Labs

Quantitative Developer

New York, NY · On-site

$350K/yr

As a Quantitative Developer at Vatic Labs, you will collaborate with our team to build and rapidly scale state-of-the-art algorithmic trading systems. You will work alongside computer scientists and ...

Fidelity Investments

Principal Quant Developer

Newark, NJ · Hybrid

$107K - $216K/yr

This individual will include hands-on development collaborating with team of quantitative researchers, software engineers and quantitative developers. The Expertise and Skills You Bring * Bachelor ...

Vatic Labs

Quantitative Developer

New York, NY · On-site

$350K/yr

As a Quantitative Developer at Vatic Labs, you will collaborate with our team to build and rapidly scale state-of-the-art algorithmic trading systems. You will work alongside computer scientists and ...

Arrowstreetcapital

Quantitative Developer

Boston, MA · On-site

$150K - $250K/yr

Team Overview We are looking for Quantitative Developers to join our Research group. We are a collaborative, data-driven, intellectually rigorous team responsible for coming up with investment ideas ...

Arrowstreetcapital

Quantitative Developer

Boston, MA · On-site

$155K - $260K/yr

Team Overview We are looking for Quantitative Developers to join our Research group. We are a collaborative, data-driven, intellectually rigorous team responsible for coming up with investment ideas ...

Arrowstreet Capital LP

Quantitative Developer

Boston, MA · On-site

$150K - $250K/yr

Team Overview We are looking for Quantitative Developers to join our Research group. We are a collaborative, data-driven, intellectually rigorous team responsible for coming up with investment ideas ...

Arrowstreet Capital LP

Quantitative Developer

Boston, MA · On-site

$155K - $260K/yr

Team Overview We are looking for Quantitative Developers to join our Research group. We are a collaborative, data-driven, intellectually rigorous team responsible for coming up with investment ideas ...

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Quantitative Engineer information

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$38K

$90.5K

$150.5K

How much do quantitative engineer jobs pay per year?

As of Jun 19, 2026, the average yearly pay for quantitative engineer in the United States is $90,538.00, according to ZipRecruiter salary data. Most workers in this role earn between $71,500.00 and $100,000.00 per year, depending on experience, location, and employer.

What are Quantitative Engineers?

Quantitative Engineers, often called 'quants', are professionals who apply advanced mathematical, statistical, and programming skills to solve complex problems in finance, technology, or research. They develop models and algorithms to analyze data, assess risk, and inform decision-making, particularly in areas like trading, asset management, and financial engineering. Their work often involves programming in languages such as Python, C++, or R, and requires a strong background in mathematics and computer science. Quantitative Engineers play a crucial role in optimizing processes and strategies using quantitative methods.

What jobs pay $500,000 a year in the US?

Quantitative engineers in finance, hedge funds, and proprietary trading firms can earn $500,000 or more annually, especially with bonuses and profit sharing. High-level roles often require advanced degrees, strong programming skills, and experience with financial modeling and algorithms.

How do Quantitative Engineers typically collaborate with traders and software developers in a financial firm?

Quantitative Engineers often work closely with traders to understand their strategies and translate them into mathematical models or algorithms. They also partner with software developers to ensure these models are efficiently implemented in trading platforms, balancing performance and accuracy. Regular communication and joint problem-solving are essential, as the role requires aligning complex quantitative methods with practical trading objectives and robust technical solutions.

What do quantitative engineers do?

Quantitative engineers develop mathematical models and algorithms to analyze financial data, manage risk, and inform trading strategies. They often use programming languages like Python or C++ and work closely with traders and analysts in finance or technology firms. Strong skills in mathematics, statistics, and programming are essential for this role.

What jobs make $1,000,000 a year?

Quantitative engineers working in hedge funds, investment banks, or proprietary trading firms can earn $1,000,000 or more annually, especially with bonuses and profit-sharing. High-level roles often require advanced degrees, strong programming skills, and experience with financial modeling and risk management tools.

What engineers make $500,000?

Senior quantitative engineers, especially those working in finance, hedge funds, or investment banks, can earn $500,000 or more annually through base salary, bonuses, and profit sharing. High compensation often requires advanced skills in programming, mathematics, and financial modeling, along with extensive experience and a strong track record of performance.

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

To thrive as a Quantitative Engineer, you need a strong background in mathematics, statistics, and computer science, typically with a degree in a quantitative field such as math, physics, or engineering. Familiarity with programming languages like Python, C++, and tools such as MATLAB, as well as experience with data analysis frameworks, is essential. Exceptional problem-solving skills, attention to detail, and the ability to communicate complex concepts clearly set top performers apart. These skills are crucial for developing robust quantitative models and algorithms that drive informed financial or technical decision-making.

What is the difference between Quantitative Engineer vs Quantitative Analyst?

AspectQuantitative EngineerQuantitative Analyst
CredentialsDegree in Math, Finance, or Engineering; often requires programming skillsDegree in Finance, Economics, or Math; strong analytical skills
Work EnvironmentDevelops models, writes code, collaborates with tech teamsAnalyzes data, creates reports, supports trading strategies
Industry UsageFinancial firms, hedge funds, investment banksAsset management, investment firms, banks

While both roles involve quantitative skills, Quantitative Engineers focus on developing and implementing models and algorithms, often requiring programming expertise. Quantitative Analysts primarily analyze data and support trading decisions. The roles are complementary but differ in technical depth and focus.

More about Quantitative Engineer jobs
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What job categories do people searching Quantitative Engineer jobs look for? The top searched job categories for Quantitative Engineer jobs are:
Quantitative Engineer jobs near you

Quantitative Developer | Quant Trading Firm | NYC

Delmar Nord

Manhattan, NY • On-site

Other

This job post has expired today. Applications are no longer accepted.

Job description

Quantitative Developer — Elite Proprietary Trading Firm | New York, NY

We are a leading global proprietary trading firm known for intellectual rigor, technological excellence, and a collaborative culture that values curiosity and first-principles thinking. Our technology and trading operations are deeply intertwined — every system they've built has direct impact on how we trade, at scale, across global markets.



About the Rol

eAs a Quantitative Developer, you will sit at the intersection of software engineering and quantitative research, building and maintaining the production systems that power our trading strategies. You will work closely with traders and researchers to translate complex quantitative models into robust, high-performance production code. This is not a back-office role — the systems you build have direct, measurable impact on trading outcomes every day


.
What You'll

  • DoDesign, build, and maintain production trading systems, including execution infrastructure, data pipelines, and research tooli
  • ngPartner directly with traders and quantitative researchers to understand business requirements and implement solutions that meet the highest standards of correctness and performan
  • ceOwn systems end-to-end, from initial design through deployment and ongoing operational suppo
  • rtContribute to architectural decisions and raise the engineering bar across the te
  • amIdentify and drive improvements to existing systems, proactively surfacing opportunities to increase performance, reliability, and scalabili


ty
Who We're Looking

  • ForStrong software engineering fundamentals with deep proficiency in Python; ability to write clean, well-structured, production-quality c
  • odeExperience building and maintaining data pipelines, trading systems, or other performance-sensitive infrastruct
  • ureSharp data intuition — you are comfortable working with large, complex, and sometimes messy datasets and can identify anomalies, validate assumptions, and draw meaningful conclusi
  • onsUnderstanding of how a trading or financial services business operates; you want to understand why you're building what you're building, not just
  • howLow ego, high curiosity — you ask good questions, learn quickly, and thrive in an environment where intellectual honesty is valued over hierar
  • chyAt least one year of post-graduation experience; candidates from trading firms, quantitative hedge funds, or small to mid-sized technology companies with strong data engineering culture are encouraged to ap


ply
Nice to

  • HaveExperience with columnar data formats and query languages such as Pandas, SQL, and Po
  • larsFamiliarity with alternative data sourcing, onboarding, and validation workf
  • lowsComfort working directly with traders and researchers as a technical partner, not just an impleme
  • nterBackground in a quantitative discipline — mathematics, statistics, physics, computer science, or sim


ilar

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