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Quantitative Software Developer Jobs (NOW HIRING)

DTCC

Senior Quantitative Software Engineer

Jersey City, NJ · Hybrid

$127K - $168K/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 ...

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

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 ...

Point72

Quantitative Software Developer Intern

Paris, NY

$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 ...

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

Quantitative Developer

New York, NY · 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

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

$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 Inc

Quantitative Developer - Python

Chicago, IL

$200K - $225K/yr

Quantitative Developer - Python Chicago, United States IMC is looking for a Quantitative Developer ... software development, preferably at a trading firm or systematic fund * Strong production ...

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Quantitative Software Developer information

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$169K

$210.6K

$240.5K

How much do quantitative software developer jobs pay per year?

As of Jun 21, 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 are the key skills and qualifications needed to thrive as a Quantitative Software Developer, and why are they important?

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.

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.

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.

What states have the most Quantitative Software Developer jobs? States with the most job openings for Quantitative Software Developer jobs include:
Quantitative Software Developer jobs near you
Infographic showing various Quantitative Software Developer job openings in the United States as of June 2026, with employment types broken down into 70% Full Time, 2% Part Time, 26% Contract, and 2% Nights. Highlights an 81% Physical, 5% Hybrid, and 14% Remote job distribution, with an average salary of $210,625 per year, or $101.3 per hour.

Quantitative Software Engineer: Techniques Engineering

Two Sigma Investments, LP

New York, NY • On-site

$165K - $300K/yr

Full-time

Medical, Dental, Life, Retirement, PTO

Posted 25 days ago

Job description

Quantitative Software Engineer: Techniques Engineering
Location
NY New York
United States
Business
Investment Management
Function
Engineering
Experience Level
Experienced
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Position Summary
Two Sigma is a leading quantitative investment management and trading firm. The company applies a scientific approach to investing, combining cutting-edge technology, artificial intelligence, data science, and quantitative research with rigorous human inquiry to capitalize on market opportunities and deliver alpha for investors.
Our team of engineers, quantitative researchers and data scientists looks beyond the traditional to test hypotheses and develop creative solutions to some of the world's most complex economic problems.
We're seeking an experienced Machine Learning/AI Engineer who is passionate about bridging innovative research with production-level deployment. In this role, you will work closely with researchers, data teams, and platform engineers to transform innovative ideas into scalable, efficient, and robust production systems. You'll have the opportunity to develop and refine ML workflows and drive best practices across the entire ML lifecycle-from initial prototyping to inference and support.
You will take on the following responsibilities:
  • Collaborate with ML researchers to explore model architectures, training methodologies, and experimental objectives
  • Translate prototypes into reusable, maintainable, and production-ready code, ensuring research insights scale seamlessly into operation
  • Design, implement, and optimize fully automated training pipelines and evaluation workflows
  • Optimize models for production-improving efficiency through techniques like quantization, distillation, and intelligent batching
  • Continuously assess and fine-tune both research and production workflows, integrating user feedback and automated monitoring systems
  • Identify and implement opportunities for process improvements to reduce bottlenecks and improve overall modeler efficiency.
  • Stay ahead of industry trends and new technologies, incorporating sophisticated methodologies into production systems
  • Provide technical guidance and mentorship to peers, ensuring the team uses new tools and techniques that drive innovation

You should possess the following qualifications:
  • BS in Computer Science, Mathematics, Physics, or related technical subject area
  • Minimum 1 year of experience required; 7-15 years of experience preferred
  • Strong software engineering skills using Python, version control, testing frameworks, and CI/CD practices
  • Ability to work across functions and influence technical strategy while balancing research innovation with operational excellence
  • A phenomenal teammate that can work efficiently with modeling and engineering partners
  • Experience with leading ML frameworks (e.g., PyTorch, TensorFlow, HuggingFace) and familiarity with model serving/deployment tools, distributed systems and data infrastructures
  • Experience with the following are preferred but not required:
    • Working with LLMs, multimodal models, or time-series forecasting
    • ML Ops platforms
    • Background in research or a proven understanding of ML theory

You will enjoy the following benefits:
  • Core Benefits: Fully paid medical and dental insurance premiums for employees and dependents, competitive 401k match, employer-paid life & disability insurance
  • Perks: Onsite gyms with laundry service, wellness activities, casual dress, snacks, game rooms
  • Learning: Tuition reimbursement, conference and training sponsorship
  • Time Off: Generous vacation and unlimited sick days, competitive paid caregiver leaves
  • Hybrid Work Policy: Flexible in-office days with budget for home office setup

The base pay for this role will be between $165,000 and $300,000. This role may also be eligible for other forms of compensation and benefits, such as a discretionary bonus, health, dental and other wellness plans and 401(k) contributions. Discretionary bonus can be a significant portion of total compensation. Actual compensation for successful candidates will be carefully determined based on a number of factors, including their skills, qualifications and experience.
We are proud to be an equal opportunity workplace. We do not discriminate based upon race, religion, color, national origin, sex, sexual orientation, gender identity/expression, age, status as a protected veteran, status as an individual with a disability, or any other applicable legally protected characteristics.
Two Sigma is committed to providing reasonable accommodations to qualified individuals in accordance with applicable federal, state, and local laws.
If you believe you need an accommodation, please visit our website for additional information.

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