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Quantitative Developer Jobs (NOW HIRING)

Core Quantitative Developer

New York, NY · On-site

$213K - $240K/yr

As a Quant Developer you'll be focused on end to end ownership of electronic products and services. You will play a critical role in developing models and strategies to manage and mitigate financial ...

Quantitative Developer for a PM team focused on systematic credit and related asset classes. This is a unique opportunity to collaborate, learn, and lead technology projects with high business impact.

... Quantitative Developer (or closely related occupation) performing quantitative and analytical evaluation of portfolio and derivative risk models within an investment management or trading environment ...

IMC is looking for a Quantitative Developer to own the full path from research to production. This role blends research and engineering, with tight feedback loops from ideation to live trading. You ...

IMC is looking for a Quantitative Developer to own the full path from research to production. This role blends research and engineering, with tight feedback loops from ideation to live trading. You ...

IMC is looking for a Quantitative Developer to own the full path from research to production. This role blends research and engineering, with tight feedback loops from ideation to live trading. You ...

We are looking for a Junior Quant Developer to join the Platform & Operations team. This is an ideal opportunity for a technically strong, early-career candidate who enjoys solving real problems and ...

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Quantitative Developer information

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$98K

$169.7K

$259.5K

How much do quantitative developer jobs pay per year?

As of Sep 11, 2026, the average yearly pay for quantitative developer in the United States is $169,729.00, according to ZipRecruiter salary data. Most workers in this role earn between $134,500.00 and $199,000.00 per year, depending on experience, location, and employer.

What is a quantitative developer?

Quantitative Developers, often called 'quant devs,' are professionals who combine expertise in programming, mathematics, and finance to design, develop, and maintain complex financial models and trading algorithms. They work closely with quantitative analysts (quants) to implement models that analyze financial data, price securities, or automate trading strategies. Their role typically involves programming in languages like Python, C++, or Java, and working with large datasets to ensure the efficiency and accuracy of financial systems. Quantitative Developers play a critical role in investment banks, hedge funds, and financial technology firms.

What are the key skills and qualifications needed to thrive as a quantitative developer?

To thrive as a Quantitative Developer, you need expertise in mathematics, statistics, programming (often in Python, C++, or Java), and a strong background in quantitative finance or a related field. Familiarity with financial modeling tools, version control systems like Git, and experience with data analysis libraries or platforms are typically required. Strong problem-solving abilities, attention to detail, and effective communication make candidates stand out in this role. These skills are crucial for developing robust, efficient models and tools that directly support trading, risk management, and financial decision-making.

How does a quantitative developer typically collaborate with quantitative analysts and traders in a financial firm?

Quantitative Developers work closely with quantitative analysts to implement mathematical models into robust, efficient code that can be used by traders for real-time decision-making. They often translate research prototypes into production-ready applications, ensuring that the models are both accurate and optimized for speed. Regular communication with traders helps Quantitative Developers understand the practical requirements of trading strategies, allowing them to tailor tools and systems for maximum usability and impact. This collaborative environment is essential for quickly adapting to market changes and maintaining a competitive edge.

What is the difference between Quantitative Developer vs Quantitative Analyst?

AspectQuantitative DeveloperQuantitative Analyst
Required CredentialsDegree in Computer Science, Mathematics, or related field; programming skills (Python, C++, Java)Degree in Finance, Economics, or Mathematics; strong analytical skills
Work EnvironmentPrimarily software development, coding, and system implementationData analysis, modeling, and strategy development
Employer & Industry UsageFinancial firms, hedge funds, trading desksInvestment banks, asset management firms, hedge funds
Common Search & ComparisonFocuses on coding and system buildingFocuses on market analysis and strategy

While both roles work within the finance industry and require quantitative skills, Quantitative Developers primarily focus on building and maintaining trading systems and algorithms through programming. Quantitative Analysts concentrate on analyzing data and developing models to inform trading strategies. The roles often collaborate but differ in their core responsibilities and skill sets.

What cities are hiring for Quantitative Developer jobs?

Cities with the most Quantitative Developer job openings:

What are the most commonly searched types of Quantitative Developer jobs?

The most popular types of Quantitative Developer jobs are:

Who are the top companies hiring for Quantitative Developer jobs?

The top employers for Quantitative Developer jobs are:

What states have the most Quantitative Developer jobs?

States with the most job openings for Quantitative Developer jobs include:

What are popular job titles related to Quantitative Developer jobs?

For Quantitative Developer jobs, the most frequently searched job titles are:

Infographic showing various Quantitative Developer job openings in the United States as of September 2026, with employment types broken down into 25% Internship, 25% Full Time, and 50% Contract. Highlights an 100% In-person job distribution, with an average salary of $169,729 per year, or $81.6 per hour.

Core Quantitative Developer

New York, NY • On-site

$213K - $240K/yr

Full-time

Posted 16 days ago


Job description

Impact 

At FalconX, you'll help make crypto assets a successful asset class. Some of the largest financial institutions from Wall Street to Silicon Valley and around the world will turn to you for the best market prices and insights on the crypto industry. You will become the expert on crypto industry trends and market movements. With your experience, you will shape our company's trading strategies according to our core values - speed, transparency and trust. 

As a core quant developer you'll: 

As a Quant Developer you'll be focused on end to end ownership of electronic products and services. You will play a critical role in developing models and strategies to manage and mitigate financial risks associated with complex trading. You will work closely with cross-functional teams to ensure robust risk management frameworks are in place.You will ensure the pricing and risk management framework of our electronic products are up to the highest standards.

Key Responsibilities
  • Model Development: Design and implement quantitative models to assess and manage financial risks, including market, credit, and operational risks.
  • Pricing and Risk Pipeline development: Conduct comprehensive risk assessments of our electronic pricing pipelines and scenario analyses to identify potential vulnerabilities and develop mitigation strategies.
  • Data Analysis: Utilize advanced statistical techniques and machine learning algorithms to analyze large datasets and extract actionable insights.
  • Collaboration: Work closely with traders, product managers, and other researchers to integrate risk management solutions into trading strategies.
Qualifications
  • Advanced Degree: Master's or Ph.D. in Mathematics, Statistics, Finance, or a related field.
  • Technical Proficiency:
    • Strong experience with programming languages such as Python, R, or MATLAB.
    • Familiarity with financial instruments, derivatives, and risk management frameworks.
  • Analytical Skills: Strong problem-solving skills with a focus on delivering high-quality research and insights.
  • Communication: Excellent communication skills with a collaborative mindset and attention to detail.
  • Adaptability: Ability to thrive in a fast-paced, agile environment and adapt to changing priorities.
Bonus Criteria
  • Experience with exotic products
  • Experience with infrastructure systems. 
  • Experience managing risk
  • Experience with numerical methods and optimization 
  • Experience with React 

The base pay for this role is expected to be between $213,000 and $240,000 in the New York City Area. This expected base pay range is based on information at the time this post was generated. This role will also be eligible for other forms of compensation such as a performance linked bonus, equity, and a competitive benefits package. Actual compensation for a successful candidate will be determined based on a number of factors such as location, skillset, experience, qualifications and the level at which the candidate is hired.