ZipRecruiter

Log In

1

Quant Developer Jobs in Dallas, TX (NOW HIRING)

Tata Consultancy Service Limited

ETL Developer

Plano, TX · On-site

$80K - $140K/yr

Minimum 10+ years Roles & Responsibilities Seeking a Senior Big Data Engineer with 1013 years of ... Collaboration, Leadership & Delivery • Collaborate closely with quants, product owners ...

Capital One

Sr. Business Analyst - Compliance

Plano, TX · On-site

$88K - $114K/yr

A Bachelor's Degree in a quantitative field (Business, Finance, Accounting, Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, Computer engineering, Software ...

Atmos Energy Corporation

Reservoir Engineer

Dallas, TX · On-site

$150 - $200/hr

Conducts quantitative and qualitative risk assessments on underground storage assets, evaluating ... Engineer-In-Training registration with state board, and four years' professional experience.

Amrize

Electrical Engineer I

Midlothian, TX · On-site

... quantitative data, its' organization and analysis using a variety of traditional as well as ... The electrical engineer shall assess the condition of the process and machinery accurately, assess ...

previous page

Showing results 41-60

All JobsQuant Developer JobsQuant Developer Jobs in Dallas, TX

Quant Developer information

See Dallas, TX salary details

$97K

$168K

$256.8K

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 Analytics Engineer

Charles Schwab Corporation

Westlake, TX • On-site

$125 - $150/hr

Other

Posted 6 days ago

Job description

Your Opportunity

The mission of Corporate Risk Management is to provide an integrated risk management strategy that supports the delivery of predictable financial and operational performance and produces successful client and shareholder outcomes. Corporate Risk Management serves as Schwab’s second line of defense by providing independent assessments of the firm’s risk, using models, controls, and systems to measure financial, operational, compliance, and legal risks to Schwab’s business, employees, and customers.

In this role, your primary responsibility on the Margin Risk & Data Solutions team will be to lead data science projects focused on Schwab’s margin and trading data. You will evaluate client and market data to detect risk patterns using modeling and analysis techniques, then convert that knowledge into functional models that help dictate and challenge how that risk is managed. From there, you will be responsible for model documentation, development evidence, and performance monitoring for our production models. Successful candidates will also have strong experience analyzing, manipulating, and visualizing large datasets. This is an Individual Contributor role.

This position is posted in Omaha, Chicago, Austin, Southlake, and Westlake. Qualified internal Schwab employees outside of these markets are encouraged to apply. Location flexibility for strong internal candidates may be considered based on business needs, seat availability, and organizational alignment. We encourage employees not to self-select out of consideration based solely on location.

What you have
  • Bachelor’s or Master’s degree in Computer Science, Mathematics, Engineering, Data Science, Finance or related field.
  • 5+ years of experience in model development, preferably in financial services.
  • 5+ years of experience with SQL, data manipulation, and data visualization.
  • Strong Python skills; experience with data analysis and manipulation frameworks (Pandas, NumPy, PySpark, etc).
  • Strong fundamentals in option models and retail derivatives trading. Experience with option and equity trading models and brokerage margin policies, particularly Black-Scholes, binomial option models, value-at-risk techniques, futures SPAN margin, Monte Carlo methods, and regression.
  • Ability to manage multiple deliverables and drive process improvements.
  • Excellent communication skills and documentation abilities.

What you’ll do:

  • Design, improve, and deploy equity option and exposure models for financial risk analytics, focusing on margin and trading data.
  • Lead the management and maintenance of retail trading data sets.
  • Collaborate with internal developers and architects to connect models with core banking platforms and workflows.
  • Document model development, deployment processes, and integration steps for internal and external review.
  • Analyze large datasets, identify risk patterns, and translate insights into actionable models.
  • Present technical approaches and results to management, auditors, and business partners.
  • Contribute to an Agile team, iterating quickly and delivering impactful solutions.

Nice to Haves:

  • Knowledge of brokerage business processes and regulatory requirements.
  • Exposure to other cloud platforms (AWS, Azure, GCP) and hybrid cloud architectures.
  • Experience with automation and DevOps platforms.
  • Experience with C# or Java service-based architectures.
  • Experience with data science and implementing machine learning
#J-18808-Ljbffr

Apply