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Quantitative Engineer Jobs (NOW HIRING)

IMC

Quantitative Developer - Derivatives

Chicago, IL · On-site

We're looking for a Quantitative Developer - Derivatives to join our Chicago office. At IMC, the Pricing and Risk (PAR) team owns the firm's core quantitative library for live derivatives pricing and ...

IMC

Quantitative Developer - Derivatives

Chicago, IL · On-site

$175K - $250K/yr

We're looking for a Quantitative Developer - Derivatives to join our Chicago office. At IMC, the Pricing and Risk (PAR) team owns the firm's core quantitative library for live derivatives pricing and ...

Vatic Labs

Quantitative Developer

New York, NY

$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 ...

Point72

Quantitative Developer - CIO Office

New York, NY · On-site

$175K - $300K/yr

Point72 is seeking a Quantitative Developer to join its Portfolio Construction and Analysis (PCA) team within the CIO office. ROLE Point72 is seeking a Quantitative Developer to join its Portfolio ...

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 ...

Point72

Quantitative Developer - CIO Office

New York, NY · On-site

$175K - $300K/yr

Point72 is seeking a Quantitative Developer to join its Portfolio Construction and Analysis (PCA) team within the CIO office. ROLE Point72 is seeking a Quantitative Developer to join its Portfolio ...

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$38K

$90.5K

$150.5K

How much do quantitative engineer jobs pay per year?

As of May 30, 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 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.

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 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 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.

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Quantitative Engineer jobs near you

Quantitative Developer - eFinancialCareers

eFinancialCareers

Manhattan, NY

Full-time

Posted 13 days ago

Job description

I am working with a Top Tier Hedge Fund based in New York City who are looking to hire a Quantitative Developer to join their Global Macro Team . The main function of this role would be to assist on designing, coding and maintaining tools for the systematic trading infrastrucure of the team. They are open to considering candidates that have 3+ years of experince working as a Quantitative Developer . Experince onFixed Income is considered as a plus.

I have an excellent relationship with the team there and would ike to present a select number of suitable profiles to recommend for an interview.

Job Description:

The Team:

Systematic macro team which focuses on applying statistical and ML techniques to short-term strategies in futures, swaps, and FX markets.

Responsibilities:

  1. Strong Python programming skills
  2. Knowledge of distributed computing technologies and event based architechtures
  3. Good understanding of Fixed Income, Swaptions, FX and Futures
  4. Educational background in a Quantitative Field such as: in Computer Science, Engineering, Applied Mathematics, Statistics.

Requirements:

  1. Trading platform development experience or exposure to a systematic trading environment or sell-side equivalent experience
  2. 3+ years of experince with Python programming
  3. Exposure working with high-frequency databases

Apply