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Quantitative Risk Analyst Jobs in Dallas, TX (NOW HIRING)

GM Financial

Risk Credit Policy Analyst II

Irving, TX · Hybrid

Demonstrated quantitative skills * Acute attention to detail * Effective written and verbal ... Risk Credit Policy Analyst II is responsible for analyzing credit risk exposure related to consumer ...

GM Financial

Risk Credit Policy Analyst II

Irving, TX · On-site

Risk Credit Policy Analyst II is responsible for analyzing credit risk exposure related to consumer ... Demonstrated quantitative skills * Acute attention to detail * Effective written and verbal ...

Turing

Remote Quantitative Analyst (Finance)

Dallas, TX · On-site +1

$100/hr

You will apply your expertise in quantitative modelling, statistical analysis, algorithmic strategy ... and risk quantification. * Create rubrics to assess model capabilities on tasks like options ...

Turing

Remote Quantitative Analyst (Finance)

Plano, TX · On-site +1

$100/hr

You will apply your expertise in quantitative modelling, statistical analysis, algorithmic strategy ... and risk quantification. * Create rubrics to assess model capabilities on tasks like options ...

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All JobsQuantitative Risk Analyst JobsQuantitative Risk Analyst Jobs in Dallas, TX

Quantitative Risk Analyst information

See Dallas, TX salary details

$55.9K

$132.4K

$237.4K

How much do quantitative risk analyst jobs pay per year?

As of Jun 14, 2026, the average yearly pay for quantitative risk analyst in Dallas, TX is $132,436.00, according to ZipRecruiter salary data. Most workers in this role earn between $110,300.00 and $143,900.00 per year, depending on experience, location, and employer.

What are some common challenges a Quantitative Risk Analyst faces when integrating new data sources into risk models?

Quantitative Risk Analysts often encounter challenges related to data quality, consistency, and compatibility when integrating new data sources into risk models. Ensuring that the data is accurate, timely, and relevant requires rigorous validation and sometimes complex data cleaning processes. Additionally, analysts must adapt existing risk models to accommodate new variables, which may involve re-calibrating parameters or even restructuring parts of the model. Effective collaboration with IT and data engineering teams is essential to streamline data integration and maintain model reliability.

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 and mathematical skills, experience with statistical modeling, and typically a degree in finance, mathematics, statistics, or a related field. Proficiency in programming languages such as Python, R, or MATLAB, and familiarity with risk management systems and financial databases are important technical requirements. Attention to detail, problem-solving abilities, and effective communication are vital soft skills for explaining complex analyses to stakeholders. These skills are crucial for accurately identifying, measuring, and mitigating financial risks in dynamic market environments.

What is the difference between Quantitative Risk Analyst vs Credit Risk Analyst?

AspectQuantitative Risk AnalystCredit Risk Analyst
Required CredentialsDegree in finance, economics, or mathematics; certifications like FRM or CFADegree in finance, economics, or related; certifications like FRM or CFA often preferred
Work EnvironmentFinancial institutions, investment firms, risk management departmentsBanks, lending institutions, credit agencies
Employer & Industry UsageUsed across finance sectors for risk modeling and analysisPrimarily in banking and lending for assessing creditworthiness
Comparison Search IntentUnderstanding differences in risk analysis rolesDistinguishing credit-specific risk roles from broader risk analysis

While both roles involve risk assessment and require similar credentials, a Quantitative Risk Analyst focuses on modeling and analyzing various financial risks using quantitative methods across multiple risk types. In contrast, a Credit Risk Analyst specializes in evaluating creditworthiness and managing credit risk specifically within lending and banking sectors.

What is a Quantitative Risk Analyst?

A Quantitative Risk Analyst is a professional who uses mathematical models, statistical techniques, and data analysis to assess and manage financial risks within an organization. They typically evaluate potential losses from market movements, credit defaults, or operational failures and help develop strategies to mitigate those risks. Their work is crucial in industries such as banking, investment, insurance, and asset management, where understanding and controlling risk is essential for financial stability and compliance. Quantitative Risk Analysts often work with complex financial instruments and large datasets, requiring strong analytical and programming skills.
What are the most commonly searched types of Quantitative Risk Analyst jobs in Dallas, TX? The most popular types of Quantitative Risk Analyst jobs in Dallas, TX are:
What are popular job titles related to Quantitative Risk Analyst jobs in Dallas, TX? For Quantitative Risk Analyst jobs in Dallas, TX, the most frequently searched job titles are:
What job categories do people searching Quantitative Risk Analyst jobs in Dallas, TX look for? The top searched job categories for Quantitative Risk Analyst jobs in Dallas, TX are:
What cities near Dallas, TX are hiring for Quantitative Risk Analyst jobs? Cities near Dallas, TX with the most Quantitative Risk Analyst job openings:
Quantitative Risk Analyst jobs near you
SR Risk Analyst - Lending & Card Services

SR Risk Analyst - Lending & Card Services

Populus Financial Group

Irving, TX • On-site

Full-time

Medical, Retirement, PTO

Posted 25 days ago

ACE Cash Express rating

4.4

Company rating: 4.4 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

Job description

Populus is an amazing company where our employees stay because they love their teams and the growth opportunities. Additionally, we offer a competitive 401K match, a generous paid time off package, and Health Benefits.
Our mission is to provide a broad range of quality financial products and services delivered with best-in-class customer service. We work and lead with integrity, and we celebrate employees who exemplify our values. Come join our team!
The Senior Risk Analyst: Lending & Card Services supports credit and fraud risk management across Populus Financial Group's card services and consumer lending portfolios. This role focuses on model monitoring, underwriting policy execution, and portfolio analytics, partnering with senior risk leadership to deliver data-driven insights and support sound risk decisions. This is a hands-on analytical role.
The ideal candidate is analytically driven, detail-oriented, and curious, with strong data skills and an eagerness to learn in a fast-paced environment.
Major Responsibilities
  • Monitor credit and fraud model performance across lending and card services portfolios, including approval rates, losses, fraud outcomes, and stability metrics.
  • Execute ongoing model monitoring and reporting, identifying performance shifts, emerging risks, and trends requiring escalation.
  • Support credit policy and underwriting model initiatives, including rule testing, feature analysis, validation, and performance monitoring.
  • Perform ad-hoc analytics to identify emerging risk trends, segment performance, and opportunities to improve predictive accuracy.
  • Analyze lending portfolio performance, including delinquency migration, loss trends, and origination quality.
  • Support card services risk analytics related to prepaid, DDA, ACH, transactions, KYC, and fraud activity.
  • Develop and maintain dashboards and recurring reports for key risk indicators (KRIs) and portfolio performance.
  • Partner with Fraud, Compliance, Product, Marketing, and Data teams to support risk initiatives and ensure aligned execution.
  • Prepare clear analytical insights and recommendations for senior risk leadership
  • Maintain documentation for models, policies, monitoring results, and analytical processes to support governance and audits.
  • Present analytical findings to the Manager and Director, providing insights that support data-driven decisions.

Key Competencies
  • Analytical and Quantitative Thinking
  • Credit Risk and Fraud Risk Fundamentals
  • Model Performance Monitoring and Interpretation
  • Underwriting Policy and Decision Rule Analysis
  • Data Management, Quality, and Accuracy
  • Programming and Analytical Tools (SQL, SAS, Python, or R)
  • Data Visualization and Executive-Ready Reporting
  • Collaboration and Cross-Functional Partnership
  • Problem Solving and Critical Thinking

Physical Demands
The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the major responsibilities.
While performing the duties of this job, the employee is regularly required to sit, stand or walk; use hands to finger, handle, or feel; reach with hands and arms; stoop or bend; and talk or hear. The employee must occasionally lift and/or move up to 50 lbs. Must have appropriate vision to see up close, and at a distance with ability to adjust vision and focus.
Position Type/Expected Hours of Work
This is a full-time position. Days and hours of work are Monday through Friday, 8:00 a.m. to 5:00 p.m. This position might require long hours and weekend work.
Travel
Minimal travel required.
Work Environment
The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. The noise level in some work environments can be moderate.
Disclaimer
The above information on this description has been designed to indicate the general nature and level of work performed by employees within this classification. It is not designed to contain or be interpreted, as a comprehensive inventory of all duties, responsibilities, qualifications required of employees assigned to this job.
EEO Statement
Populus Financial Group is an equal opportunity employer and complies with all applicable federal, state, and local fair employment practices laws. In compliance with applicable law, Populus Financial Group does not discriminate against any applicant or employee on the basis of race, color, religion, creed, sex, sexual orientation, gender (including gender nonconformity and status as a transgender or transsexual individual), national origin or ancestry, ethnicity, age, physical or mental disability, citizenship, past, current, or prospective service in the uniformed services, genetic information, pregnancy status, or any other protected classification. This policy applies to all terms and conditions of employment, including, but not limited to, hiring, training, promotions, discipline, compensation, benefits, and termination of employment.
Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.

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