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Quantitative Software Developer Jobs (NOW HIRING)

DTCC

Senior Quantitative Software Engineer

Jersey City, NJ · On-site

$134K - $176K/yr

The Impact You Will Have in This Role As a Quantitative Software Engineer , you will play a key role in designing and delivering production-grade Python solutions that support critical quantitative ...

Point72

Quantitative Software Developer Intern

Paris, NY · On-site

$18.25 - $24/hr

Undergraduate or graduate candidates in computer science or engineering * Significant experience in Python, C++, C, or Java * Serious interest in systems programming (e.g. Linux kernel development ...

Point72

Quantitative Software Developer Intern

New York, NY · On-site

$21 - $27.50/hr

Undergraduate or graduate candidates in computer science or engineering * Significant experience in Python, C++, C, or Java * Serious interest in systems programming (e.g. Linux kernel development ...

IMC

Quantitative Developer - Python

Chicago, IL · On-site

IMC is looking for a Quantitative Developer to own the full path from research to production. This ... software development, preferably at a trading firm or systematic fund * Strong production ...

IMC B.V.

Quantitative Developer - Python

Chicago, IL · On-site

$200K - $225K/yr

IMC is looking for a Quantitative Developer to own the full path from research to production. This ... software development, preferably at a trading firm or systematic fund * Strong production ...

IMC

Quantitative Developer - Python

Chicago, IL · On-site

$200K - $225K/yr

... software development, preferably at a trading firm or systematic fund * Strong production ... quantitative modeling, machine learning, and engineering shape how modern markets are traded. A ...

IMC

Quantitative Developer - Python

Chicago, IL · On-site

$200K - $225K/yr

... software development, preferably at a trading firm or systematic fund * Strong production ... quantitative modeling, machine learning, and engineering shape how modern markets are traded. A ...

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Quantitative Software Developer information

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How much do quantitative software developer jobs pay per year?

As of Sep 10, 2026, the average yearly pay for quantitative software developer in the United States is $210,625.00, according to ZipRecruiter salary data. Most workers in this role earn between $187,500.00 and $233,800.00 per year, depending on experience, location, and employer.

What is a quantitative software developer?

A Quantitative Software Developer is a professional who combines expertise in software engineering, mathematics, and finance to design, develop, and maintain systems that support quantitative analysis and trading. They work closely with quantitative analysts (quants) to implement complex financial models, optimize trading strategies, and process large datasets efficiently. Their role often involves using programming languages like Python, C++, or Java to build low-latency, high-performance applications for financial institutions such as banks, hedge funds, or trading firms. The position requires a strong background in computer science, familiarity with financial markets, and the ability to solve challenging technical problems.

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

To thrive as a Quantitative Software Developer, you need strong programming skills (often in Python, C++, or Java), a solid foundation in mathematics and statistics, and typically a degree in computer science, mathematics, engineering, or a related field. Familiarity with numerical libraries, data analysis tools, version control systems, and experience with financial modeling platforms are highly valuable. Analytical thinking, problem-solving abilities, and effective communication help you collaborate with cross-functional teams and interpret complex data. These skills are crucial for building robust quantitative models and software that drive data-driven decisions in finance and technology sectors.

How do quantitative software developers typically collaborate with quantitative analysts and traders?

Quantitative Software Developers work closely with quantitative analysts and traders to translate complex financial models into robust, production-ready code. This collaboration often involves regular meetings to discuss model requirements, performance optimization, and real-time data integration. Developers may also pair with analysts to validate outputs and ensure accuracy, while providing technical expertise on software architecture and best coding practices. Strong communication and teamwork skills are vital for successfully bridging the gap between quantitative research and practical trading solutions.

What is the difference between Quantitative Software Developer vs Quantitative Analyst?

AspectQuantitative Software DeveloperQuantitative Analyst
CredentialsDegree in Computer Science, Software Engineering, or related fieldsDegree in Finance, Economics, or Mathematics
Work EnvironmentDevelops trading algorithms, risk systems, and data infrastructureAnalyzes financial data, models market behavior, and advises on investment strategies
Employer & Industry UsageFinancial firms, hedge funds, trading desksInvestment banks, asset management firms, hedge funds
Common Search & ComparisonFocuses on software development skills and codingFocuses on financial modeling and data analysis

While both roles operate within the finance industry, a Quantitative Software Developer primarily focuses on building and maintaining software systems used for trading and risk management. In contrast, a Quantitative Analyst concentrates on analyzing financial data and developing models to inform investment decisions. Understanding these differences helps candidates target their skills and career goals effectively.

Are quantitative software developers in demand?

Quantitative software developers are in high demand due to their expertise in programming, data analysis, and financial modeling, especially in finance, technology, and data-driven industries. Their skills in languages like Python, C++, and knowledge of algorithms make them valuable for developing trading systems, risk management tools, and analytics platforms, leading to strong job growth prospects.

What states have the most Quantitative Software Developer jobs?

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

What are popular job titles related to Quantitative Software Developer jobs?

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

Quantitative Software Developer jobs near you
Infographic showing various Quantitative Software Developer job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 87% Full Time, 8% Part Time, and 4% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $210,625 per year, or $101.3 per hour.

Gauntlet - Quantitative Software Engineer

New York, NY • On-site, Remote

De Circle
See more jobs at De Circleexternal

Full-time

Medical, Dental, Vision, PTO

Re-posted 19 days ago

Job description

Gauntlet leads the field in quantitative research and optimization of DeFi economics. We manage market risk, optimize growth, and ensure economic safety for protocols facilitating most spot trading, borrowing, and lending activity across all of DeFi, protecting and optimizing the largest protocols and networks in the industry. We build institutional-grade vaults for decentralized finance, delivering risk-adjusted onchain yields for capital at scale. Designed by the most vigilant, quantitative minds in crypto and informed by years of research. As of April 2025, Gauntlet manages risk and incentives covering over $42 billion in customer TVL.
Gauntlet continually publishes cutting-edge research that informs our risk models, alerts, and analysis, and is among the most cited institution - including academic institutions - in terms of peer-reviewed papers addressing DeFi as a subject. We're a Series B company with around 75 employees, operating remote-first with a home base in New York City.
Our mission is to drive adoption and understanding in the financial systems of the future. The unique challenges of decentralized systems call for innovative approaches in mechanism design, smart contract development, and financial product utilization. Gauntlet leads in advancing this knowledge, ensuring safe progression through the evolving landscape of financial innovation.
We are seeking highly skilled and motivated Quantitative Software Engineers to join our team. The ideal candidate possesses strong statistical and engineering skills, a passion for problem-solving, and the ability to work effectively in a fast-paced and collaborative environment.
Responsibilities:
  • Designing and implementing strategies for managing risk and optimizing DeFi protocols using quantitative models, simulations, and machine learning.
  • Develop tools and engines for parameter recommendations and drive impact to protocols.
  • Own the whole lifecycle of protocol integrations, including building data pipelines, working closely with cross-functional teams to define the data requirements and product offering.
  • Architect and refine data models and structures to support the evolving needs of DeFi analytics, simulations, methodologies and research development.
  • Contribute to making our core modeling platform world-class.
  • Maintain up-to-date knowledge of the latest industry trends, technologies, and techniques in software engineering.
  • Optimize Aera guardian logic to improve risk-adjusted yields, trade execution quality, and capital efficiency of strategies such as Protocol-Owned Liquidity for Aera Vaults.
  • Collaborate with other cross-functional teams, including internal and external teams
  • Stay current with the latest industry trends, market risk vectors, and market conditions to ensure that Aera strategies stay on the cutting edge of crypto and DeFi innovation.

Bonus Points:
  • Contribute to the forefront of DeFi economic understanding and optimization.
  • Work on projects that value deep research, quality, and practical outcomes.
  • Collaborate with a team committed to defining future financial systems.
  • Master's or Ph.D. in Quantitative fields like Mathematics, Economics, Computer Science, Physics, or similar fields is a plus.

Benefits and Perks
  • Remote first - work from anywhere in the US & CAN!
  • Competitive packages with the added opportunity for incentive-based compensation
  • Regular in-person company retreats and cross-country "office visit" perk
  • 100% paid medical, dental and vision premiums for employees
  • Laptop provided
  • $1,000 WFH stipend upon joining
  • $100 per month reimbursement for fitness-related expenses
  • Monthly reimbursement for home internet, phone, and cellular data
  • Unlimited vacation policy
  • 100% paid parental leave of 12 weeks
  • Fertility benefits

Qualifications
  • Minimum 4 years of direct hands-on experience trading or analyzing financial markets (crypto or traditional) professionally.
  • Experience developing statistical or quantitative models for financial markets.
  • Understanding of blockchain and DeFi protocols, concepts, and best practices (or a strong desire to learn).
  • Proficient at writing code in Python and SQL with a solid understanding of software engineering principles.
  • Knowledge of workflow orchestration (e.g., Dagster, Airflow) and distributed data processing technologies (Spark).
  • Excellent understanding of statistical modeling, machine learning, and optimization algorithms.
  • Experience with scientific computing packages such as Numpy/Scipy, Pandas, etc.
  • Ability to quickly internalize abstract concepts in new domains, coupled with strong problem-solving skills and attention to detail.
  • Ability to work independently and within a team, manage multiple projects, and meet deadlines.
  • Strong communication skills and the ability to work collaboratively in a distributed team environment.

Apply