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Quantitative Developer Jobs in Dallas, TX (NOW HIRING)

Charles Schwab

Jave Software Developer

Southlake, TX

$54 - $68.75/hr

As a Software Engineer, you will contribute to the development and modernization of technology solutions that support investment research, quantitative analysis, and asset management capabilities ...

Charles Schwab Inc.

Jave Software Developer

Southlake, TX · On-site

$43.27 - $60.10/hr

As a Software Engineer, you will contribute to the development and modernization of technology solutions that support investment research, quantitative analysis, and asset management capabilities ...

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All JobsQuantitative Developer JobsQuantitative Developer Jobs in Dallas, TX

Quantitative Developer information

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How much do quantitative developer jobs pay per year?

As of Jul 14, 2026, the average yearly pay for quantitative developer in Dallas, TX is $167,972.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,100.00 and $196,900.00 per year, depending on experience, location, and employer.

What do you do as a quant developer?

A quantitative developer designs, implements, and maintains algorithms and models used for trading, risk management, and financial analysis. They typically work with programming languages like Python, C++, or Java and use data analysis tools to develop automated trading systems. Strong mathematical, statistical, and coding skills are essential in this role, often within a fast-paced financial environment.

What jobs pay $500,000 a year in the US?

Quantitative developers in finance, such as those working in hedge funds, investment banks, or proprietary trading firms, can earn $500,000 or more annually through base salary, bonuses, and profit sharing. High-level roles often require advanced degrees, strong programming skills in languages like C++ or Python, and expertise in financial modeling and risk management.

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 a quant developer's salary?

A quantitative developer's salary typically ranges from $100,000 to $200,000 annually, with higher compensation often available in financial hubs and for those with advanced skills in programming, mathematics, and financial modeling. Bonuses and profit sharing can significantly increase total compensation for experienced professionals.

What are the key skills and qualifications needed to thrive as a Quantitative Developer, and why are they important?

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 are Quantitative Developers?

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 Is a Quantitative Developer?

A quantitative developer is a computer programmer and software engineer who writes code and develops trading infrastructure for investment banks. As a quantitative developer, your job duties include creating and testing financial models and forecasts, validating and documenting the performance of financial models, analyzing performance results, and reporting on the data to traders, financial engineers, and IT support. You need a strong background in scientific computing, an understanding of financial markets, and good communication skills to be an effective quantitative developer.

What jobs make $1,000,000 a year?

Quantitative developers in finance, hedge fund managers, and senior traders can earn $1,000,000 or more annually, often through a combination of base salary, bonuses, and profit sharing. Success in these roles typically requires advanced programming skills, strong financial knowledge, and experience with trading algorithms or risk management tools.
More about Quantitative Developer jobs
What are the most commonly searched types of Quantitative Developer jobs in Dallas, TX? The most popular types of Quantitative Developer jobs in Dallas, TX are:
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What cities near Dallas, TX are hiring for Quantitative Developer jobs? Cities near Dallas, TX with the most Quantitative Developer job openings:
Quantitative Developer jobs near you
Infographic showing various Quantitative Developer job openings in Dallas, TX as of July 2026, with employment types broken down into 26% Internship, and 74% Full Time. Highlights an 100% In-person job distribution, with an average salary of $167,972 per year, or $80.8 per hour.
Engineering - Dallas - Vice President, Quantitative Engineering - 049460

Engineering - Dallas - Vice President, Quantitative Engineering - 049460

Goldman Sachs, Inc.

Dallas, TX • On-site

$178K - $229K/yr

Other

Re-posted 11 days ago

Goldman Sachs rating

8.2

Company rating: 8.2 out of 10

Based on 26 frontline employees who took The Breakroom Quiz

44th of 149 rated banks

Job description

Job Duties: Vice President, Quantitative Engineering with Goldman Sachs & Co. LLC in Dallas, Texas. Multiple positions available. Lead the development, implementation, and documentation of scenarios comprised of a broad range of economic and financial variables for businesses within the Firm. Collaborate with internal stakeholders, analyzing user needs from a scenario design perspective and addressing data, model, and implementation issues. Analyze large data sets (structured and unstructured) to build predictive models of business-relevant market variables. Develop, refine, and improve scenarios by leveraging knowledge in financial markets, economics, current events, statistical analysis, and programming. Build and challenge risk models, identify and quantify vulnerabilities across market, credit, liquidity risk and modeling. Create and maintain clear and complete technical documentation of the risk-model performance testing approach and process. Mentor junior and mid-level team members.

Job Requirements: Master's degree (U.S. or foreign equivalent) in Computer Science, Financial Engineering, Applied Mathematics, Data Science, Operations Research, or related quantitative field and three (3) years of experience in job offered or a related quantitative engineering role OR Bachelor's degree (U.S. or foreign equivalent) in Computer Science, Financial Engineering, Applied Mathematics, Data Science, Operations Research, or related quantitative field and five (5) years of experience in job offered or a related quantitative engineering role OR PhD degree (U.S. or foreign equivalent) in Computer Science, Financial Engineering, Applied Mathematics, Data Science, Operations Research, or related quantitative field and one (1) year of experience in job offered or a related quantitative engineering role. Prior experience must include three (3) years of experience (with a Master's degree) OR five (5) years of experience (with a Bachelor's degree) OR one (1) year of experience (with a PhD degree) with 5 of the 8 following skills: C++, Java, or Python; performing financial mathematics, including at least one of the following: stochastic calculus, no-arbitrage pricing theory, multivariable calculus, linear algebra, probability theory, numerical methods, or Monte-Carlo techniques; performing analysis leveraging market risk, credit risk, liquidity risk, or mathematical finance concepts; object-oriented programming and scripting programming languages such as Python or Java; implementing mathematical models or analytics in production-quality software; working with database query languages, such as SQL, MongoDB, or other data management tools to process large datasets; applying algorithms or data structures to write complex programs; and developing pricing models for financial products to model risk, economics, and cash flows under normal and distressed market environments.

The Goldman Sachs Group, Inc., 2026. All rights reserved. Goldman Sachs is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, national origin, age, veteran status, disability, or any other characteristic protected by applicable law.

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About Goldman Sachs

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At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world. We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

New York, NY, US

Year founded

1869

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