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Quant Engineer Jobs in Texas (NOW HIRING)

X4 Engineering

Machine Learning Engineer

Austin, TX · On-site

$140K - $180K/yr

Productionizing quantitative models and analytics tools * Developing distributed data and compute ... Driving engineering best practices across CI/CD, observability, testing, and automation Tech stack ...

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

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

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 ...

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 ...

Virtu Financial

Quantitative Strategist (PhD)

Austin, TX

$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 ...

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All JobsQuant Engineer JobsQuant Engineer Jobs in Texas

Quant Engineer information

What engineer makes $500,000 a year?

Quantitative engineers, or quants, working in finance or hedge funds with extensive experience, advanced degrees, and strong programming skills can earn $500,000 or more annually through base salary, bonuses, and profit sharing. Such compensation typically requires expertise in mathematics, programming languages like Python or C++, and a deep understanding of financial markets. These roles are often located in major financial hubs and demand high levels of performance and specialization.

How much do quants get paid?

Quantitative analysts, or quants, typically earn between $100,000 and $200,000 annually at entry to mid-level positions, with senior roles often exceeding $300,000 including bonuses. Compensation varies based on experience, location, firm size, and performance, with many quants also receiving performance-based bonuses and benefits. Strong skills in mathematics, programming, and finance are essential for higher salaries in this field.

What engineers make $300,000 a year?

Senior quantitative engineers, often called quant researchers or quant developers, can earn $300,000 or more annually, especially with experience, advanced degrees, and expertise in programming languages like Python or C++, as well as knowledge of financial markets and risk management. Compensation typically includes base salary, bonuses, and profit sharing, particularly in hedge funds, investment banks, and proprietary trading firms.

What are the key skills and qualifications needed to thrive as a Quant Engineer, and why are they important?

To thrive as a Quant Engineer, you need strong quantitative and programming skills, typically supported by a degree in mathematics, physics, computer science, or a related field. Proficiency in programming languages such as Python, C++, or Java, as well as familiarity with statistical analysis tools and financial modeling systems, is essential. Analytical thinking, problem-solving abilities, and effective communication distinguish top performers in this role. These skills enable Quant Engineers to develop robust models and algorithms that drive accurate trading strategies and risk management in fast-paced financial environments.

What are Quant Engineers?

Quant Engineers, or quantitative engineers, are professionals who apply mathematical models, statistical techniques, and computer programming to solve complex problems in finance and related industries. They often work on designing trading algorithms, risk management tools, and pricing models for financial instruments. Quant Engineers typically have strong backgrounds in mathematics, computer science, and finance, and are skilled in programming languages such as Python, C++, or R. Their work helps financial firms make data-driven decisions and optimize strategies in highly competitive markets.

Do I need a PhD to be a quant?

A PhD is not strictly required to become a quantitative engineer, but many roles prefer candidates with advanced degrees in fields like mathematics, physics, or engineering. Strong programming skills, proficiency in tools like Python or C++, and solid quantitative knowledge are essential for success in the field.

What is the difference between Quant Engineer vs Quant Analyst?

AspectQuant EngineerQuant Analyst
Required CredentialsDegree in Math, Finance, or Computer Science; often requires programming skillsDegree in Finance, Economics, or Math; less emphasis on programming
Work EnvironmentDevelops models, algorithms, and software tools for trading and risk managementAnalyzes data, interprets models, and provides insights for trading strategies
Employer & Industry UsageFinancial firms, hedge funds, investment banksFinancial firms, asset management, hedge funds

While both roles involve quantitative analysis, Quant Engineers focus on building and implementing models and software, whereas Quant Analysts primarily analyze data and interpret models to inform trading decisions. The roles often overlap but differ in technical depth and responsibilities.

How do Quant Engineers typically collaborate with traders and other team members to develop and implement trading strategies?

Quant Engineers work closely with traders, researchers, and software developers to design, test, and refine quantitative trading models. They often translate mathematical models into efficient code, analyze large datasets, and ensure strategies are both robust and scalable for real-time trading environments. Frequent communication is key, as Quant Engineers must gather requirements from traders, iteratively backtest ideas, and adapt models based on feedback and market changes. This collaborative process helps ensure strategies are both scientifically sound and practically viable for deployment.
What are popular job titles related to Quant Engineer jobs in Texas? For Quant Engineer jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Quant Engineer jobs in Texas look for? The top searched job categories for Quant Engineer jobs in Texas are:
What cities in Texas are hiring for Quant Engineer jobs? Cities in Texas with the most Quant Engineer job openings:
Quant Engineer jobs near you

Quantitative Researcher - Prediction Markets, Quant Trading

Crypto.com

Dallas, TX • On-site, Remote

$100K - $150K/yr

Full-time

Posted 23 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, across 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
We may use artificial intelligence tools to analyze the content of your Resume/CV against the specific requirements for the position. The purpose is to support our recruitment team in reviewing applications more effectively. These tools assist our recruitment team in their evaluation of your application by providing recommendations, but they do not replace human judgment. Final hiring decisions are ultimately made by humans who consider the insights generated by the tools along with other relevant information. If you would like more details about how your personal information is processed, please contact us.

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