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Quantitative Jobs in Dallas, TX (NOW HIRING)

Bank OZK

Associate, Quantitative Modeling

Dallas, TX · On-site

Also develops and documents the quantitative tools used to quantify credit risk, provide early identification of trends in compliance activities, and support other areas of the Bank in which ...

Bank OZK

Associate, Quantitative Modeling

Dallas, TX · On-site

Also develops and documents the quantitative tools used to quantify credit risk, provide early identification of trends in compliance activities, and support other areas of the Bank in which ...

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Showing results 1-20

All JobsQuantitative JobsQuantitative Jobs in Dallas, TX

Quantitative information

See Dallas, TX salary details

$30.7K

$89.6K

$144.4K

How much do quantitative jobs pay per year?

As of Sep 8, 2026, the average yearly pay for quantitative in Dallas, TX is $89,604.00, according to ZipRecruiter salary data. Most workers in this role earn between $34,600.00 and $117,700.00 per year, depending on experience, location, and employer.

What is a quantitative job?

Quantitative jobs, often referred to as 'Quant' roles, involve the application of mathematical, statistical, and computational techniques to analyze data and solve complex problems, particularly in finance, investment banking, and technology sectors. Professionals in these roles develop and implement models to inform trading strategies, manage risk, or optimize investment portfolios. Quants typically have strong backgrounds in mathematics, statistics, computer science, or engineering and use programming languages such as Python, R, or C++. These positions are highly analytical and require a deep understanding of financial markets, data analysis, and quantitative modeling.

What are the key skills and qualifications needed to thrive as a quantitative analyst?

To thrive as a Quantitative Analyst, you need strong mathematical, statistical, and analytical skills, usually supported by a degree in mathematics, finance, engineering, or a related field. Proficiency with programming languages like Python or R, experience with data analysis tools, and familiarity with financial modeling platforms are typically required. Exceptional problem-solving abilities, attention to detail, and effective communication skills help individuals excel in this role. These competencies are crucial for developing accurate models, interpreting complex data, and driving data-driven decisions in finance and business.

What are some common challenges faced by quantitative analysts when working with large datasets in finance?

Quantitative analysts often deal with vast and complex datasets, which can present challenges such as data quality issues, integration of disparate data sources, and ensuring computational efficiency. Successfully cleaning and validating data is essential to produce reliable models. Additionally, quant analysts must stay updated with the latest programming tools and statistical techniques to optimize data processing and derive meaningful insights, often collaborating closely with IT and software engineering teams to implement scalable solutions.

What is the difference between Quantitative vs Quantitative Analyst?

AspectQuantitativeQuantitative Analyst
Required CredentialsMathematics, statistics, or related degreesMathematics, statistics, or finance certifications
Work EnvironmentResearch, data analysis, modelingFinancial firms, investment banks, hedge funds
Industry UsageBroadly used in finance, tech, researchPrimarily in finance and investment sectors
Common Search IntentGeneral quantitative rolesSpecific finance-focused roles

Quantitative refers broadly to roles involving mathematical and statistical analysis across various industries. A Quantitative Analyst, however, is a specialized role within finance that applies quantitative methods to develop trading strategies, risk management, and financial modeling. While both share similar credentials and work environments, the analyst role is more industry-specific, focusing on financial markets and investment decision-making.

What cities near Dallas, TX are hiring for Quantitative jobs?

Cities near Dallas, TX with the most Quantitative job openings:

Quantitative jobs near you
Infographic showing various Quantitative job openings in Dallas, TX as of August 2026, with employment types broken down into 83% Full Time, 14% Part Time, and 3% Contract. Highlights an 75% Physical, 5% Hybrid, and 20% Remote job distribution, with an average salary of $89,604 per year, or $43.1 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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