1

Quantitative Risk Jobs in Dallas, TX (NOW HIRING)

Evaluate LLM models on quantitative finance topics such as stochastic modelling, derivatives pricing, statistical arbitrage, and risk quantification. * Create rubrics to assess model capabilities on ...

Provide quantitative support throughout the Risk or Finance divisions. * Implementation, modeling, and validation of quantitative models including PD, LGD, ALM, CCAR, QRM, MRM and Economic Capital.

next page

Showing results 1-20

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 Jun 14, 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.

What is an example of a quantitative risk?

A quantitative risk in a risk analyst role involves measuring potential financial losses using numerical data, such as calculating the probability and impact of market fluctuations on investment portfolios. This often requires skills in statistical analysis, modeling, and tools like Excel or specialized risk management software.

How much do risk quants get paid?

Risk quants typically earn between $100,000 and $200,000 annually, with senior professionals and those in major financial centers earning higher salaries. Compensation often includes bonuses and depends on experience, education, and technical skills such as programming and statistical analysis.

What is the salary of a quant risk analyst?

The average salary of a quantitative risk analyst typically ranges from $80,000 to $150,000 annually, depending on experience, location, and the size of the employer. Senior roles or those with advanced skills in programming and risk modeling can earn higher compensation, often exceeding $200,000 with bonuses and incentives.

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 jobs make $1,000,000 a year?

In the field of quantitative risk, high-level roles such as Chief Risk Officer or senior quantitative risk managers at large financial institutions can earn over $1 million annually through base salary, bonuses, and incentives. These positions typically require advanced degrees, extensive experience, and strong skills in risk modeling, data analysis, and financial regulations. Compensation at this level is often tied to company performance and individual contributions.
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:
Remote Quantitative Analyst (Finance)

Remote Quantitative Analyst (Finance)

Turing

Arlington, TX • On-site, Remote

$100/hr

Other

Posted 3 days ago


Job description

About Turing

Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in coding, reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L.


Role Overview

Turing is looking for Quantitative Finance professionals to work with our researchers to improve the performance of AI models. You will apply your expertise in quantitative modelling, statistical analysis, algorithmic strategy development, and financial engineering to evaluate and train AI systems. If you enjoy solving complex quantitative problems and are interested in shaping the future of AI in finance, please apply. No prior AI experience is required.


What Does Day-to-Day Look Like

  • Evaluate LLM models on quantitative finance topics such as stochastic modelling, derivatives pricing, statistical arbitrage, and risk quantification.
  • Create rubrics to assess model capabilities on tasks like options pricing, Monte Carlo simulation, factor model construction, and back-testing methodologies.
  • Collaborate with AI researchers and fellow finance experts to shape training methods, evaluation strategies, and benchmarks.


Requirements

  • 2+ years of experience in Quantitative Finance (e.g., quant trading, quant research, financial engineering, or risk modelling).
  • Strong grasp of stochastic calculus, statistical modeling, derivatives pricing theory.
  • Excellent English written communication.


Bonuses (Not at All Necessary)

  • CFA, FRM, CQF, Ph.D. in a quantitative field, or MBA in Finance.


Perks of Freelancing with Turing

  • Work on the cutting edge of AI and finance.
  • Fully remote and flexible work environment.
  • Competitive hourly compensation of ~$100+/hour depending on experience.


Offer Details

  • Commitment: Flexible, 10–30 hrs/week.
  • Duration: ~1 month, with the possibility of extension based on performance and project needs.


After applying, you’ll receive a login link by email. Please complete your profile promptly so we can proceed with your application.


We’re actively hiring for this role. If you know exceptional talent, please refer them at turing.com/referrals and earn money for successful referrals.