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Quant Developer Jobs in Texas (NOW HIRING)

Eka Finance

Quantitative Research Analyst

Austin, TX · On-site

You will work closely with portfolio managers, developers, and other researchers to turn data into ... Strong quantitative and analytical skills with experience working on large and complex datasets

Teza Technologies

Quantitative Researcher, PhD

Austin, TX · On-site

$200 - $250/hr

Strong programming ability in Python and C++/Java. * Experience working with quantitative models ... Curiosity, creativity, and proven academic track record. What you'll get * On-site presence of ...

Virtu Financial

Quantitative Strategist (PhD)

Austin, TX · On-site

$175K - $200K/yr

THE ROLE As a Quant at Virtu, you will be working on interdisciplinary teams alongside traders, quants and seasoned software engineers. The environment is collegiate and collaborative, encouraging ...

Expand Energy

Quantitative Risk Analyst

Spring, TX · On-site

Additional programming capability in one or more of SQL, C#, C++, VBA, or similar languages ... Experience in quantitative risk, quantitative analytics, structuring, valuation, or model ...

Expand Energy

Quantitative Risk Analyst

Spring, TX · On-site

Additional programming capability in one or more of SQL, C#, C++, VBA, or similar languages ... Experience in quantitative risk, quantitative analytics, structuring, valuation, or model ...

Expand Energy

Quantitative Risk Manager

Spring, TX · On-site

Additional programming capability in one or more of SQL, C#, C++, VBA, or similar languages ... Experience in quantitative risk, quantitative analytics, structuring, valuation, or model ...

Expand Energy

Quantitative Risk Manager

Spring, TX · On-site

Additional programming capability in one or more of SQL, C#, C++, VBA, or similar languages ... Experience in quantitative risk, quantitative analytics, structuring, valuation, or model ...

Fairygodboss

Quant Analytics Associate Sr - DART

Plano, TX · On-site

$100 - $125/hr

Bachelor's degree in a quantitative or technical field (Economics, Engineering, Physical Sciences, Mathematics, Operations Research, Statistics, Computer Science). * Expert‑level SQL (complex joins ...

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 ...

All Options

Quantitative Trader

Austin, TX · On-site

All Options is looking for a Quantitative Trader to join our Trading team in our Austin, TX office ... Proficiency in programming (Python, C++, or others). * Ability to perform under pressure and remain ...

All Options

Quantitative Trader

Austin, TX · On-site

All Options is looking for a Quantitative Trader to join our Trading team in our Austin, TX office ... Proficiency in programming (Python, C++, or others). * Ability to perform under pressure and remain ...

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How much do quant developer jobs pay per year?

As of Sep 7, 2026, the average yearly pay for quant developer in Texas is $158,128.00, according to ZipRecruiter salary data. Most workers in this role earn between $125,300.00 and $185,400.00 per year, depending on experience, location, and employer.

What is a quant developer?

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.

What are the key skills and qualifications needed to thrive as a quant developer?

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.

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 a 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++ and 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 does a quant developer do?

A quant developer designs and implements complex mathematical models and algorithms used for trading, risk management, and investment strategies in financial firms. They typically work with programming languages like Python, C++, or Java and collaborate closely with traders and analysts to develop automated systems. Strong quantitative skills, programming expertise, and knowledge of financial markets are essential for this role.

What are the most commonly searched types of Quant Developer jobs in Texas?

The most popular types of Quant Developer jobs in Texas are:

What are popular job titles related to Quant Developer jobs in Texas?

For Quant Developer jobs in Texas, the most frequently searched job titles are:

What job categories do people searching Quant Developer jobs in Texas look for?

The top searched job categories for Quant Developer jobs in Texas are:

What cities in Texas are hiring for Quant Developer jobs?

Cities in Texas with the most Quant Developer job openings:

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Quant Developer jobs near you
Infographic showing various Quant Developer job openings in Texas as of August 2026, with employment types broken down into 84% Full Time, 6% Part Time, and 10% Contract. Highlights an 83% Physical, 4% Hybrid, and 13% Remote job distribution, with an average salary of $158,128 per year, or $76 per hour.

Quant Analytics Associate Sr - DART

JPMorgan Chase & Co.

Plano, TX • On-site

$95K - $135K/yr

Full-time

Medical, Retirement

Re-posted 7 days ago

Key responsibilities

  • Own end-to-end MIS solution delivery, including requirements gathering, metric definition, data acquisition, modeling, transformation, validation, and visualization.

  • Design and build reliable ELT/ETL pipelines using Python and SQL, and implement orchestration, version control, and CI/CD processes.

  • Create executive-ready dashboards and self-service data marts with clear metrics and intuitive user experience.

JPMorgan Chase & Co. rating

7.9

Company rating: 7.9 out of 10

Based on 500 frontline employees who took The Breakroom Quiz

77th of 175 rated banks

Job description


Join our team as a senior quantitative analytics associate, where you'll collaborate with business partners to design innovative, automated solutions using cutting-edge technologies, driving operational efficiency in a dynamic, learning-focused environment.
As a Quant Analytics Associate Senior within DART (Data, Analytics and Reporting Team), you will play a crucial role in the DART MIS (Management Information System) setup and will be tasked with delivering effective business solutions. You will collaborate closely with various stakeholders and management levels to ensure the delivery of the most optimal solutions. As a member of the DART team you will leverage a broad technology suite to implement automated solutions and deliver data driven insights.
Job Responsibilities
  • Own end-to-end MIS solution delivery: requirements gathering, metric definition, source data acquisition, modeling, transformation, validation, and visualization.
  • Design and build reliable ELT/ETL pipelines in Python/SQL; implement orchestration, version control, and CI/CD to ensure repeatability and resilience.
  • Create executive-ready dashboards and self-service data marts (e.g., Tableau) with intuitive UX and clear metric definitions.
  • Apply advanced analytics (forecasting/time series, anomaly detection, segmentation, queuing/capacity planning) to optimize operational performance
  • Implement data quality frameworks (unit/integration tests, validation checks, anomaly monitoring), define SLAs/SLOs, and maintain runbooks.
  • Translate complex findings into concise narratives for senior stakeholders; influence decisions with data-backed recommendations.
  • Identify risks opportunities proactively, and value-unlock levers in operational processes; drive innovation in data management and automation.
  • Manage the book of work, prioritize initiatives, and deliver projects on time; lead cross-functional teams as SME and mentor junior colleagues.
  • Adhere to data governance, privacy, and control standards; ensure audit readiness, reproducibility, and clear documentation.

Required Qualifications, Capabilities, and Skills
  • 5+ years of hands-on analytics experience delivering measurable business improvements, with a strong track record in operations analytics or MIS within complex environments.
  • Bachelor's degree in a quantitative or technical field (Economics, Engineering, Physical Sciences, Mathematics, Operations Research, Statistics, Computer Science).
  • Expert-level SQL (complex joins, window functions, CTEs, performance tuning) and strong Python (pandas, NumPy; unit testing with pytest; structured logging; packaging).
  • Proven experience building automated data pipelines and operating in data lake/cloud environments (Snowflake; AWS services such as S3, Glue, Lambda; or equivalent).
  • Strong data visualization experience (Tableau or equivalent), including KPI design, dashboard UX, and audience-specific storytelling.
  • Working knowledge of machine learning and applied statistics for operations use cases (time series forecasting, supervised/unsupervised methods, feature engineering).
  • Familiarity with data wrangling tools (e.g., Alteryx) and, as applicable, R for statistical analysis.
  • Excellent verbal and written communication skills-able to synthesize complex analyses into concise executive narratives and visuals.
  • Demonstrated ability to collaborate across functions and levels; influence decisions; and drive adoption of data solutions.

Preferred Qualifications, Capabilities, and Skills
  • Banking industry experience and domain knowledge in Consumer & Community Bank (CCB) Operations (e.g., servicing/contact centers, payments/claims, fraud/disputes, collections) and workforce/capacity planning.
  • Experience with experimentation and causal methods (A/B testing design, uplift modeling, causal inference frameworks).
  • Modern data engineering practices: orchestration (Airflow or equivalent), transformation frameworks (dbt), API integrations, and containerization (Docker) or comparable tooling
  • Performance and cost optimization in cloud data platforms; query/profile tuning for large-scale datasets.
  • Exposure to risk and control frameworks; model documentation; audit and lineage standards in regulated environments.
  • Certifications (e.g., AWS Data/Analytics, Snowflake, Tableau).

About Us
Chase is a leading financial services firm, helping nearly half of America's households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs.
We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
Equal Opportunity Employer/Disability/Veterans
About the Team
Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We're proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions - all while ranking first in customer satisfaction.

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