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Quantitative Developer Jobs (NOW HIRING)

IMC

Quantitative Developer - Derivatives

Chicago, IL

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 ...

Arrowstreet Capital

Quantitative Developer

Boston, MA

$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 ...

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 role blends research and engineering, with tight feedback loops from ideation to live trading. You ...

3Red Partners

Quantitative Developer

Chicago, IL · On-site

$150K - $250K/yr

The Quantitative Developer will have the opportunity to work in one of our offices focusing on strategy development and code optimization. We are seeking a candidate that is looking for an ...

P2P

Quantitative Developer

Manhattan, NY · On-site

$175 - $250/hr

About the Role As a Quantitative Developer / Research Engineer, you will be an early member of the team with meaningful ownership of its systems, research tooling, and engineering practices. You will ...

Engelhart

Junior Quantitative Developer

New York, NY · On-site

$150K - $180K/yr

Reporting to the Lead Quantitative Developer in Stamford, CT, you will work closely with traders, analysts, and fellow quants to develop and maintain the quantitative tools, analytics, and models ...

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 ...

3Red Partners

Quantitative Developer

Chicago, IL · On-site

$150K - $250K/yr

The Quantitative Developer will have the opportunity to work in one of our offices focusing on strategy development and code optimization. We are seeking a candidate that is looking for an ...

DRW

Quantitative Developer

New York, NY · On-site

As a Quantitative Developer / Research Engineer, you will be an early member of the team with meaningful ownership of its systems, research tooling, and engineering practices. You will work closely ...

Infinite Services

NY · On-site

$95 - $130/hr

About The Role We're looking for an experienced Quantitative Developer; this role focuses on developing and deploying advanced AI-driven pricing models for trading applications, combining real-time ...

Poesis

Quantitative Developer

San Francisco, CA · On-site

$180K - $280K/yr

About the Role We're hiring a Quantitative Developer to help turn research ideas into production-grade code. You'll help build data pipelines, implement models and ensure results are clean ...

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Showing results 21-40

All JobsQuantitative Developer Jobs

Quantitative Developer information

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$98K

$169.7K

$259.5K

How much do quantitative developer jobs pay per year?

As of Aug 9, 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.

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 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.

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 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.
More about Quantitative Developer jobs
What cities are hiring for Quantitative Developer jobs? Cities with the most Quantitative Developer job openings:
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Quantitative Developer jobs near you
Infographic showing various Quantitative Developer job openings in the United States as of August 2026, with employment types broken down into 80% Full Time, 3% Part Time, and 17% Contract. Highlights an 81% Physical, 4% Hybrid, and 15% Remote job distribution, with an average salary of $169,729 per year, or $81.6 per hour.

Quantitative Developer, Quantitative Strategies

Millennium Management LLC

New York, NY • On-site

$150K - $200K/yr

Full-time

Re-posted 14 days ago

Millennium Management rating

7.7

Company rating: 7.7 out of 10

Based on 11 frontline employees who took The Breakroom Quiz

Job description

Quantitative Developer, Quantitative Strategies
Please direct all resume submissions to QuantTalentUS@mlp.com and reference REQ-29447 in the subject line.
Millennium is a leading global hedge fund with a strong commitment to leveraging technology, data, and market innovation to drive high-quality investment outcomes.
Job Description
We are seeking a highly skilled, entrepreneurial Quantitative Developer to join an existing collaborative quantitative trading pod. This is a hands-on role at the intersection of technology, data, research, and trading, with direct exposure to the Senior Portfolio Manager and quantitative researchers. The role spans the full systematic trading stack, with a particular focus on research infrastructure, data systems, signal deployment, and production monitoring.
Location
New York
Principal Responsibilities
  • Own and continuously improve the team's research platform, including the backtesting framework, simulation environments, and caching / compute layers
  • Build and maintain tooling that enables researchers to develop, test, and deploy signals efficiently
  • Integrate Agentic AI workflows where they can improve productivity, model development, or operational robustness
  • Design, organize, and maintain large-scale datasets and data pipelines used across research and production
  • Optimize and support the team's interfaces with central and external systems, including execution, risk monitoring, and compute / resource management
  • Help productionize and monitor trading signals, ensuring robustness, observability, and operational reliability
  • Partner closely with researchers and the SPM to translate research needs into scalable engineering solutions

Preferred Technical Skills
  • Strong Python engineering skills, with the ability to write clean, scalable, production-quality code
  • Experience with performance optimization in Python and with parallel / distributed workloads
  • Familiarity with tools such as Kubernetes, Ray, Dask, Polars, Slurm, or similar distributed compute / orchestration frameworks
  • Experience with SQL; familiarity with modern data warehouses such as Snowflake is a plus
  • Strong Linux experience
  • Solid understanding of system design, design patterns, and data architecture
  • Excellent communication, analytical, and problem-solving skills, with the ability to quickly understand and implement complex quantitative workflows

Preferred Experience
  • 3+ years of experience as a quantitative developer, research engineer, or software / data engineer, ideally in a systematic trading or financial context
  • Experience building or supporting research platforms, simulation frameworks, or quantitative data infrastructure
  • Experience creating, organizing, and maintaining custom datasets and production-grade data pipelines
  • Experience supporting the deployment, monitoring, and maintenance of live research outputs or trading models
  • Experience working closely with researchers in a fast-paced, iterative environment

Target Start Date
  • As soon as possible

Millennium offers a total compensation package which includes a base salary, discretionary performance bonus, and comprehensive benefits. The estimated base salary range for this position is $150,000 to $200,000, which is specific to New York and may change in the future. When finalizing an offer, we take into consideration an individual's experience level and the qualifications they bring to the role to formulate a competitive total compensation package.

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