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Quantitative Risk 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 ...

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All JobsQuantitative Risk JobsQuantitative Risk Jobs in Dallas, TX

Quantitative Risk information

See Dallas, TX salary details

$30.7K

$89.6K

$144.4K

How much do quantitative risk jobs pay per year?

As of Jul 6, 2026, the average yearly pay for quantitative risk 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.

How do Quantitative Risk professionals typically collaborate with other departments within a financial institution?

Quantitative Risk professionals frequently work with various teams such as trading, portfolio management, compliance, and IT. This collaboration helps ensure that risk models accurately reflect real-world exposures and regulatory standards. Effective communication is key, as Quantitative Risk staff must translate complex data and models into actionable insights for non-technical stakeholders. Regular cross-departmental meetings and project-based collaborations are common, promoting a dynamic and integrated work environment.

What is the difference between Quantitative Risk vs Quantitative Analyst?

AspectQuantitative RiskQuantitative Analyst
Primary FocusAssessing and managing financial risks using quantitative methodsDeveloping models and strategies to analyze financial data and inform investment decisions
Required CredentialsOften requires risk management certifications (FRM, PRM), advanced degrees in finance, mathematics, or statisticsTypically requires degrees in finance, economics, mathematics, or related fields; certifications like CFA may be common
Work EnvironmentFinancial institutions, risk management departments, banksInvestment firms, hedge funds, banks, financial services companies

Quantitative Risk professionals focus on identifying and mitigating financial risks through specialized models, while Quantitative Analysts develop analytical models to support trading, investment, and financial decision-making. Both roles require strong quantitative skills and often similar educational backgrounds, but their core objectives differ: risk management versus financial analysis and strategy development.

What is a Quantitative Risk Analyst?

A Quantitative Risk Analyst is a finance professional who uses mathematical models and statistical techniques to assess and manage financial risks for organizations, particularly in banking, investment, and insurance sectors. They analyze data, develop risk models, and help companies make informed decisions to minimize potential losses. Their work involves programming, data analysis, and communicating complex risk scenarios to stakeholders. Quantitative Risk Analysts play a crucial role in ensuring that organizations remain financially stable and compliant with regulatory requirements.

What are the key skills and qualifications needed to thrive as a Quantitative Risk Analyst, and why are they important?

To thrive as a Quantitative Risk Analyst, you need strong analytical skills, expertise in statistics and mathematics, and a relevant degree such as finance, mathematics, or engineering. Familiarity with statistical software (such as R, Python, or SAS), risk modeling tools, and industry certifications like FRM or CFA is highly valued. Excellent problem-solving abilities, attention to detail, and effective communication skills help you interpret complex data and convey insights to stakeholders. These competencies are crucial for accurately assessing risk, supporting strategic decisions, and ensuring the financial stability of organizations.
What are the most commonly searched types of Quantitative Risk jobs in Dallas, TX? The most popular types of Quantitative Risk jobs in Dallas, TX are:
What are popular job titles related to Quantitative Risk jobs in Dallas, TX? For Quantitative Risk jobs in Dallas, TX, the most frequently searched job titles are:
What job categories do people searching Quantitative Risk jobs in Dallas, TX look for? The top searched job categories for Quantitative Risk jobs in Dallas, TX are:
Quantitative Risk jobs near you
Infographic showing various Quantitative Risk job openings in Dallas, TX as of June 2026, with employment types broken down into 1% As Needed, 87% Full Time, 10% Part Time, 1% Temporary, and 1% Contract. Highlights an 77% Physical, 5% Hybrid, and 18% Remote job distribution, with an average salary of $89,604 per year, or $43.1 per hour.

Quantitative Researcher - Prediction Markets, Quant Trading

Crypto.com

Dallas, TX • On-site

$100K - $150K/yr

Full-time

Posted 24 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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