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Quant Developer Jobs in Dallas, TX (NOW HIRING)

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 ...

3B Staffing LLC

ETL Developer

Plano, TX · On-site

$49 - $64.25/hr

Typically requires 10+ years of applicable experience * BS/MS in Computer Science, Engineering, or any quantitative discipline * Experience in Teradata 16.x, SQL/BTEQ scripting, TPT, Informatica 10.x ...

3B Staffing LLC

ETL Developer

Plano, TX · On-site

$49 - $64.25/hr

Typically requires 10+ years of applicable experience * BS/MS in Computer Science, Engineering, or any quantitative discipline * Experience in Teradata 16.x, SQL/BTEQ scripting, TPT, Informatica 10.x ...

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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 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 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 Dallas, TX?

The most popular types of Quant Developer jobs in Dallas, TX are:

What are popular job titles related to Quant Developer jobs in Dallas, TX?

For Quant Developer jobs in Dallas, TX, the most frequently searched job titles 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:

Quant Developer jobs near you
Infographic showing various Quant Developer job openings in Dallas, TX as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $167,972 per year, or $80.8 per hour.

Quantitative Researcher - Prediction Markets, Quant Trading

P2P

Dallas, TX • On-site

$125 - $150/hr

Other

Posted 6 days ago

Job description

We’re building a new quantitative research team focused on pricing, market‑making, and risk models for prediction markets. This is a highly hands‑on role for someone who can operate end‑to‑end: data engineering, research, modeling, and close collaboration with traders, a cross sports and non‑sports event markets and a range of contract types, including single‑outcome markets, player props, and parlays.

Responsibilities
  • Build data foundation, transform raw data into pricing inputs
  • Research and develop quantitative pricing, market‑making, and risk models across sports, non‑sports, player props, parlays, and correlated markets
  • Model cross‑market dependencies, correlations, and portfolio effects, especially for combinatorial products such as parlays
  • Partner closely with traders to improve pricing logic, market coverage, and trading performance
  • Build frameworks for backtesting, simulation, and model validation
  • Create tools to monitor model performance, calibration, P&L attribution, and live trading outcomes
  • Help define the tooling, workflow, and research standards for a new team
Requirements
  • Strong quantitative background in statistics, math, ML, economics, or a related field
  • Experience building models in trading, sports, betting, prediction markets, or similar domains
  • Strong Python/data skills and comfort owning data pipelines as well as modeling
  • Ability to move quickly from raw data to research insight to production‑ready mode
  • High ownership, strong communication skills and comfortable with fast‑paced high growth environment

$100,000 - $150,000 a year

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