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Quant Developer Jobs in Dallas, TX (NOW HIRING)

Cloud /Devops Engineer

Dallas, TX ยท On-site

$55.25 - $73.75/hr

Holds a degree in Computer Science, Information Systems, Electrical Engineering, Mathematics, or a similar quantitative field. * Good to have Azure Infrastructure services and their limitations ...

Cloud /Devops Engineer

Dallas, TX ยท On-site

$55.25 - $73.75/hr

Experience with DevOps tools - CloudFormation, Terraform, CI/CD, Code Pipeline, Docker, Ansible ... quantitative field. * Good to have Azure Infrastructure services and their limitations

Tableau Developer Location: Plano, TX Onsite Duration: 12+ Months Tableau Public profile is ... quantitative course work is required * 5 + years of strong experience in building data ...

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Showing results 1-20

Quant Developer information

See Dallas, TX salary details

$96.9K

$167.9K

$256.7K

How much do quant developer jobs pay per year?

As of Jun 15, 2026, the average yearly pay for quant developer in Dallas, TX is $167,873.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,000.00 and $196,800.00 per year, depending on experience, location, and employer.

How much do quant devs make?

Quant developers typically earn between $100,000 and $200,000 annually, with experienced professionals and those at top firms earning over $300,000 including bonuses. Compensation often depends on experience, location, and the complexity of the models they develop, with many roles requiring strong programming skills in languages like Python or C++ and knowledge of financial markets.

What is a Quant Developer job?

A Quant Developer (Quantitative Developer) is a software engineer who builds and maintains financial models, trading systems, and analytical tools for quantitative analysts and traders. They use programming languages like Python, C++, or Java to develop algorithms that automate trading strategies, risk analysis, and data processing. Quant Developers typically work in hedge funds, investment banks, or proprietary trading firms, collaborating with quants and portfolio managers to optimize trading performance. Strong mathematical skills, proficiency in financial markets, and expertise in software development are essential for this role.

Does JP Morgan hire quants?

JP Morgan actively hires quantitative analysts and developers for roles in trading, risk management, and technology. These positions typically require strong programming skills, knowledge of financial models, and often a background in mathematics or engineering. The firm offers opportunities for quants across various teams and locations, with competitive hiring standards and onboarding processes.

What are some typical challenges quant developers face in their daily work?

Quant developers often work with large, complex datasets and real-time data streams, which can present technical challenges related to performance, accuracy, and scalability. They may need to continuously adapt to changing market requirements or new financial regulations, requiring staying up to date and learning new tools or methods. Collaboration with quants, traders, and other stakeholders is common, so balancing technical problem-solving with effective communication is also important. These challenges make the role both demanding and intellectually rewarding for those passionate about technology and finance.

Is quant developer a good career?

A quant developer is a highly specialized role that involves developing algorithms and models for financial trading and risk management. It typically requires strong programming skills in languages like Python or C++, along with a background in mathematics or finance. The role offers high earning potential and demand in financial firms but often involves long hours and high pressure.

What are the key skills and qualifications needed to thrive in the Quant Developer position, and why are they important?

To thrive as a Quant Developer, you need advanced programming skills (often in Python, C++, or Java), a strong foundation in mathematics or statistics, and a relevant degree such as in computer science, engineering, or quantitative finance. Expertise in numerical libraries, version control systems like Git, and familiarity with financial modeling tools or industry data feeds is highly valuable. Collaboration, strong analytical thinking, and the ability to communicate complex concepts clearly are critical soft skills for this role. These capabilities are essential for designing robust quantitative models and working effectively with cross-functional teams in fast-paced financial environments.

Is 30 too late to become a quant?

Quantitative analyst roles typically require strong backgrounds in mathematics, programming, and finance, often gained through advanced degrees or relevant experience. While starting a career at 30 is possible, it may require additional training or certifications such as a master's in financial engineering or programming skills in Python or C++. Age is less important than skills, experience, and the ability to adapt to a fast-paced, technical environment.
What are the most commonly searched types of Quant Developer jobs in Dallas, TX? The most popular types of Quant Developer jobs in Dallas, TX are:
What job categories do people searching Quant Developer jobs in Dallas, TX look for? The top searched job categories for Quant Developer jobs in Dallas, TX are:
What cities near Dallas, TX are hiring for Quant Developer jobs? Cities near Dallas, TX with the most Quant Developer job openings:
Infographic showing various Quant Developer job openings in Dallas, TX as of June 2026, with employment types broken down into 50% Full Time, 25% Part Time, and 25% Contract. Highlights an 75% In-person, and 25% Remote job distribution, with an average salary of $167,873 per year, or $80.7 per hour.
Senior Software Engineer - Trading Systems - KDB+ / AI/ML

Senior Software Engineer - Trading Systems - KDB+ / AI/ML

InterSources

Roanoke, TX โ€ข Hybrid

$117K - $155K/yr

Other

Posted 14 days ago


Job description

Senior Software Engineer โ€“ Trading Systems - KDB+ / AI/ML

Location: Westlake TX / Jersey City NJ

On-site/Remote/Hybrid: Onsite

Duration: 6-12 Months

Interview Process: 2 Rounds No of submissions: 2 No of Positions: 2

The Role

We are seeking a highly experienced software engineer to lead the design and development of next-generation trading systems. This is a hands-on technical leadership role focused on building scalable, resilient, and high-performance trading infrastructure. You'll collaborate across teams, mentor engineers, and drive innovation in a mission-critical environment.

  • Design, develop, and optimize KDB+ databases and qanalytics for high-volume trading and market data
  • Develop Python-based AI and quantitative models for research, prediction, classification, and signal generation
  • Apply machine learning techniques to time-series data (feature engineering, model training, evaluation)
  • Build research and backtesting frameworks integrating AI models with historical data
  • Translate quantitative and ML research into robust, production-ready systems
  • Integrate AI models into real-time and batch pipelines
  • Optimize analytics and model evaluation for performance, stability, and scalability
  • Collaborate with quants, product owners, and engineering teams on model deployment and monitoring
The Expertise You Have

Bachelor's degree in Mathematics, Computer Science, Engineering, Information Technology, or equivalent

10+ years professional experience in quantitative finance or trading systems

Advanced proficiency in KDB+/q, including:

  • Time-series data modeling
  • High-performance querying and joins
  • Real-time and historical analytics
  • Strong Python skills for: Quantitative analysis
  • AI/ ML model development Integration with KDB+ and downstream systems
  • Experience working with large-scale, high-frequency, or noisy datasets
  • Solid software engineering practices (Git, testing, modular design)
  • Worked with AI developer assist tools (e.g. GitHub Copilot)
  • Experience with CI/CD tools such as GitHub, Maven, Jenkins, Artifactory, and uDeploy
  • Hands-on experience in AWS or other cloud platforms
  • Familiarity with object-oriented programming languages such as Java
  • Experience in Linux, shell scripting, and production support experience
The Skills You Bring
  • A strong quantitative mindset with practical AI application skills
  • Ability to bridge research, machine learning, and production systems
  • Comfort working on front-office or research-critical infrastructure
  • Clear communicator with quants, traders, and engineers
  • Willingness to support production systems and participate in on-call rotations, including occasional weekend support.
About Us:

InterSources Inc, is a Small, Woman, and Minority-Owned Business Enterprise, ISO/IEC 27001, SOC 2 Type 2 certified company with massive 18+ years of diversified experience in providing IT Consulting Services, Artificial Intelligence, Data Analysis, Application Development, Cloud Services, Cybersecurity, Digital Marketing, ERP Management, Custom Software Development, Web Development, UI/ UX Design, System Integration, QA Support etc. We make reasonable accommodations for clients and employees, and we do not discriminate based on any protected attribute including race, religion, color, national origin, gender sexual orientation, gender identity, age, or marital status. We also are a Google Cloud and Oracle partner company.


InterSources logo

About InterSources

Sourced by ZipRecruiter

In 2007, Our journey began as pioneers in the realm of technology and security. Since then, InterSources Inc. has evolved into a trusted partner, leading the way in Cloud Security, Cybersecurity, PLG Consulting, Digital Transformation, and Professional Services. With a rich history of excellence and a forward-thinking approach, we continue to secure your digital future and drive innovation. Explore our legacy of success and discover the possibilities that lie ahead.

Company size

51 - 200 Employees

Headquarters location

Fremont, CA, US

Year founded

2007

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