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Quantitative Model Developer Jobs in Texas (NOW HIRING)

You will work closely with portfolio managers, developers, and other researchers to turn data into ... Research and develop new models, signals, and techniques designed to increase risk-adjusted returns

Quantitative Strategist (PhD)

Austin, TX · On-site

$175K - $200K/yr

Develop risk models and frameworks to manage portfolio risks * Create tools to automate research ... PhD in Science, Math, Engineering or other quantitative or STEM programs. * No previous Quant ...

Take ownership of model(s) including accurate position assessment with understanding of contract ... Programming experience or advanced knowledge of programming concepts. Experience working in a team ...

Main Responsibilities • Develop and implement quantitative risk models and metrics for trading ... Python preferred. • Programming experience or advanced knowledge of programming concepts. • ...

Operationalize the outputs of powerflow models and grid topology to anticipate network congestion ... Bachelor's degree required in Electrical Engineering, Power Systems, Quantitative Finance or a ...

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Quantitative Model Developer information

See Texas salary details

$91.3K

$158.1K

$241.8K

How much do quantitative model developer jobs pay per year?

As of Jun 26, 2026, the average yearly pay for quantitative model 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 are the key skills and qualifications needed to thrive as a Quantitative Model Developer, and why are they important?

To excel as a Quantitative Model Developer, you need strong mathematical and statistical skills, proficiency in programming languages like Python, R, or C++, and typically a degree in mathematics, statistics, computer science, or a related field. Experience with modeling frameworks, data analysis tools, and familiarity with quantitative finance platforms such as MATLAB or QuantLib are commonly required. Critical thinking, attention to detail, and effective communication are important soft skills for interpreting complex data and collaborating with cross-functional teams. These abilities are essential for developing accurate, reliable models that inform financial decision-making and risk management.

How does a Quantitative Model Developer typically collaborate with other teams within a financial institution?

Quantitative Model Developers frequently work alongside risk management, trading, and IT departments to ensure that financial models are both robust and aligned with business objectives. They often translate complex mathematical concepts for stakeholders, assist in model implementation, and respond to feedback or changing requirements. Collaboration is key, as they must ensure models are technically sound, regulatory compliant, and seamlessly integrated into production systems. Regular communication and interdisciplinary teamwork are essential for resolving challenges and delivering effective solutions.

What is the difference between Quantitative Model Developer vs Quantitative Analyst?

AspectQuantitative Model DeveloperQuantitative Analyst
Primary FocusDesigning, developing, and implementing quantitative modelsAnalyzing data to inform trading, investment, or risk decisions
Skills & CertificationsProgramming (Python, C++, R), quantitative finance, model developmentData analysis, statistical skills, financial knowledge
Work EnvironmentQuant teams in finance firms, hedge funds, banksResearch teams, trading desks, investment firms
Common UsageBuilding models used in trading algorithms and risk managementInterpreting data to support investment strategies

While both roles require quantitative skills and finance knowledge, Quantitative Model Developers focus on creating and coding models, whereas Quantitative Analysts analyze data to guide decisions. The roles often overlap but differ mainly in their core responsibilities and technical focus.

What does a Quantitative Model Developer do?

A Quantitative Model Developer designs, implements, and maintains mathematical models used in finance, banking, or other industries to analyze data and support decision-making. They use programming languages, statistical techniques, and financial theory to develop models for tasks such as risk assessment, pricing, or forecasting. These professionals work closely with traders, analysts, and other stakeholders to ensure the models are accurate, efficient, and aligned with business goals.
What job categories do people searching Quantitative Model Developer jobs in Texas look for? The top searched job categories for Quantitative Model Developer jobs in Texas are:
Quantitative Strategist (PhD)

Quantitative Strategist (PhD)

Virtu Financial

Austin, TX

$175K - $200K/yr

Other

Posted 17 days ago


Job description

Virtu is a leading financial firm that leverages cutting edge technology to deliver liquidity to the global markets and innovative, transparent trading solutions to our clients. As a market maker, Virtu provides deep liquidity that helps to create more efficient markets around the world. Our market structure expertise, broad diversification, and execution technology enables us to provide competitive bids and offers in over 19,000 securities, at over 235 venues, in 36 countries worldwide 

The firm's complementary core offerings-market making, client execution services, and trading venues-give Virtu a competitive advantage in developing and applying innovative tools that deliver efficiencies and performance across the organization. 

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 exposure to many teams across the globe. 

  • Apply your observation skills and modern statistical methods to identify and build predictive models
  • Research and implement new trading strategies
  • Analyze existing strategies to identify potential improvements
  • Develop risk models and frameworks to manage portfolio risks
  • Create tools to automate research tasks and improve visualization of complex data sets

THE CANDIDATE

  • PhD in Science, Math, Engineering or other quantitative or STEM programs.
  • No previous Quant Finance or specific asset class experience required.
  • History of diverse, challenging, and interesting coursework paired with a strong GPA
  • Exceptional quantitative, mathematical, and problem-solving skills
  • Great communication skills and the ability to collaborate with peers
  • Ability to solve technical and or quantitative problems under pressure
  • Ability to express ideas mathematically and algorithmically
  • Programming skills (especially Python and C/C++)
  • Intellectually curious and self-motivated Ability to communicate within and across teams, at a high and low level, on both technical and non-technical subjects
  • Ability to seek guidance and learn new skills from peers
  • Extraordinary mental flexibility and a high tolerance for ambiguity
  • Strong drive for success within a collaborative team

THE PROCESS

After passing an application screening, candidates will be sent an online programming test via email from a service called HackerRank as a first step of the process.

Salary Range: $175,000 - $200,000 (salary range is exclusive of bonuses, benefits or other categories of compensation)

Virtu Financial is an equal opportunity employer, committed to a diverse and inclusive workplace, welcoming you for who you are and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

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