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Quantitative Developer Jobs in Dallas, TX (NOW HIRING)

Fifth Third

Senior Quant Analyst-CCAR/CECL

Dallas, TX · On-site +1

Advanced degree in quantitative analytics, economics, statistics, engineering, or a related area. * Minimum 4-5 years of experience in statistical/econometric modeling and database management.

Programmers.io

Snowflake Developer

Dallas, TX · On-site

* Bachelor's or Masters in Computer Science, Applied Mathematics, Engineering, or a related quantitative field. b. c. d. * Experience: Minimum of 3-5 years of professional "hands-on-keyboard" coding ...

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Quantitative Developer information

See Dallas, TX salary details

$96.9K

$167.9K

$256.7K

How much do quantitative developer jobs pay per year?

As of Aug 4, 2026, the average yearly pay for quantitative developer in Dallas, TX is $167,901.00, 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.

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 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:
What are popular job titles related to Quantitative Developer jobs in Dallas, TX? For Quantitative Developer jobs in Dallas, TX, the most frequently searched job titles are:
What job categories do people searching Quantitative Developer jobs in Dallas, TX look for? The top searched job categories for Quantitative Developer jobs in Dallas, TX are:
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 83% Full Time, 5% Part Time, 1% Temporary, and 11% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $167,901 per year, or $80.7 per hour.

Quantitative Engineering, Liquidity Metrics Strats, Dallas, Vice President

Goldman Sachs, Inc.

Dallas, TX • On-site

$178K - $229K/yr

Full-time

Re-posted 18 days ago

Goldman Sachs rating

8.3

Company rating: 8.3 out of 10

Based on 27 frontline employees who took The Breakroom Quiz

48th of 170 rated banks

Job description


LIQUIDITY METRICS STRATS
Liquidity and Prime Risk Strats use their engineering and mathematical background to identify and measure risk and to implement quantitative and technical risk modelling solutions. Successful Strats are highly analytical, driven to own commercial outcomes, and communicate with precision and clarity. As a part of the team, you will work with our key business partners and understand financial markets to quantify the firm's liquidity risk. You will also focus on developing quantitative models & scalable architecture.
RESPONSIBILITIES
  • Develop, implement, and maintain quantitative measures of liquidity risk using advanced mathematical/statistical/engineering approaches
  • Perform quantitative analysis and facilitate understanding of a variety of financial instruments, including secured funding transactions, collateral firm and client inventory, and loans and commitments
  • Quantify and monitor measures of risk in different areas across the firm, such as prime brokerage, synthetic trading, and repo trading
  • Work alongside revenue generating functions and corporate treasury to implement the liquidity regulatory requirements
  • Communicate clearly complex mathematical concepts with internal and external stakeholders such as risk managers, senior management and regulators.
  • Updating and maintaining risk models along with business growth and risk environment changes
  • Developing and maintaining large scale risk infrastructures/systems in a compiled or scripting language

QUALIFICATIONS
  • At least 7 years of prior experience in the financial industry, preferably in Capital Markets, Risk or Treasury functions
  • Strong quantitative skills with an advanced degree in Mathematics, Physics, Engineering or other highly quantitative discipline
  • Strong programming experience in at least one compiled or scripting language (e.g. C, C++, Java, Python)
  • Strong written and verbal communication skills - ability to explain complex quantitative concepts to a non-technical audience
  • Strong analytical and problem solving skills using math, statistics, and programming
  • Demonstrated ability to learn technologies and apply
  • Familiarity with financial markets, financial assets and liquidity risk management practices is a plus

ABOUT GOLDMAN SACHS
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. Learn more about our culture, benefits, and people at GS.com/careers.

What Goldman Sachs employees say

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About Goldman Sachs

Sourced by ZipRecruiter

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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