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

FR&G collaborates closely with Quantitative Risk Management and the Counterparty Credit Risk teams ... analyze, and mitigate potential risks and safeguard financial markets, in which DTCC plays a ...

FR&G collaborates closely with Quantitative Risk Management and the Counterparty Credit Risk teams ... analyze, and mitigate potential risks and safeguard financial markets, in which DTCC plays a ...

Credit Risk Analyst Seniors use quantitative methods to identify credit risk, develop and deliver credit strategies, and monitor credit performance for consumer credit portfolios to optimize ...

You will use quantitative methods to identify credit risk, develop and deliver credit strategies ... Leads the analysis of internal and external scores/data for use in identifying first party fraud.

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 ...

What You'll Do * Lead risk monitoring activities for complex and elevated-risk member firms ... Intermediate-to-advanced quantitative and analytical problem-solving skills, including the ability ...

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Quantitative Risk Analyst information

See Allen, TX salary details

$52.6K

$124.5K

$223.2K

How much do quantitative risk analyst jobs pay per year?

As of Aug 14, 2026, the average yearly pay for quantitative risk analyst in Allen, TX is $124,529.00, according to ZipRecruiter salary data. Most workers in this role earn between $103,700.00 and $135,300.00 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?

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 popular job titles related to Quantitative Risk Analyst jobs in Allen, TX?

For Quantitative Risk Analyst jobs in Allen, TX, the most frequently searched job titles are:

What job categories do people searching Quantitative Risk Analyst jobs in Allen, TX look for?

The top searched job categories for Quantitative Risk Analyst jobs in Allen, TX are:

What cities near Allen, TX are hiring for Quantitative Risk Analyst jobs?

Cities near Allen, TX with the most Quantitative Risk Analyst job openings:

Infographic showing various Quantitative Risk Analyst job openings in Allen, TX as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $124,529 per year, or $59.9 per hour.

Senior Risk Analyst, Commercial Lending Analytics

Stellantis Financial Services

Dallas, TX

Full-time

Re-posted 4 days ago


Stellantis Financial Services rating

8.3

Company rating: 8.3 out of 10

Based on 8 frontline employees who took The Breakroom Quiz


Job description

Stellantis Financial Services (SFS) is the new captive finance company for one of the world's leading automakers and a mobility provider with iconic brands including Abarth, Alfa Romeo, Chrysler, Citron, Dodge, DS Automobiles, Fiat, Jeep, Lancia, Maserati, Opel, Peugeot, Ram, Vauxhall, Free2move and Leasys.

Our exciting growth provides opportunities to advance your career as we successfully lead products and services from a small to midsize company in just a few years. Join our world class team and culture and contribute to our core mission which is enhancing our customer's experience.

Position Summary:

The Senior Risk Analyst, Commercial Lending Analytics, will support the development, calibration, and ongoing performance monitoring of commercial lending (dealer floorplan) credit criteria for Stellantis Financial Services. This role partners closely with Commercial Lending, Credit Policy, and Model Risk to build and maintain dealer risk-rating frameworks, portfolio surveillance reporting, and early-warning indicators across the floorplan and commercial credit portfolio, while operating independently within the Risk department to ensure appropriate separation between criteria-setting/monitoring and origination decisioning.

Essential Duties and Responsibilities:

  • Uses quantitative and analytical skills to mine, process and analyze data using SQL, Fabric, R, Python, SAS, Power BI, MS Excel or similar spreadsheet programs, and other business tools.
  • Develops and presents analysis on performance, trends, and projections to upper management to facilitate business and strategic decisions.
  • Prepares and distributes recurring and ad-hoc analysis and reporting on portfolios including performance and projections.
  • Provides easy-to-understand, action-oriented analytical reports and other presentations to the management team.
  • Builds, recalibrates, and validates dealer risk-rating models and commercial credit scorecards; supports development of early-warning triggers for portfolio deterioration.
  • Identifies and evaluates portfolio trends and KPIs relevant to commercial/dealer credit, including inventory turn, aging, curtailment compliance, out-of-trust incidence, and dealer financial covenant performance, alongside market valuations, depreciation, and residuals.
  • Trouble-shoots data deficiencies and errors to ensure timely and accurate analysis of the data.
  • Confers with IT and functional business lines to evaluate, design, implement, and maintain relational databases and/or large data sets.
  • Collaborates with Commercial Lending and Credit Policy on the design and ongoing calibration of dealer floorplan lending criteria, covenant thresholds, and audit/monitoring cadence.
  • Partners with dealer audit/inventory-verification functions to incorporate out-of-trust and inventory aging data into portfolio risk reporting.
  • This position involves regular access to sensitive business and consumer information, including, but not limited to, dealer financial statements, dealer principal/guarantor personal financial information, Social Security numbers, and dates of birth.
  • Other duties as assigned.

Required Experience:

  • Five (5) years of experience in data analytics, credit risk analytics, or commercial credit analysis, including exposure to portfolio monitoring, financial statement analysis, or credit scoring/rating frameworks.
  • Familiarity with financial statement analysis (balance sheet, cash flow, leverage) is strongly preferred, given the commercial/dealer-credit focus of this role.
  • Proficient with SQL, Fabric, Python, R or other business intelligence software.
  • Proficient with using Microsoft Office Suite applications such as Excel, PowerPoint, Word, and Power BI.
  • Ability to work with mathematical concepts such as probability and statistical inference and apply concepts to practical situations.
  • Experience with statistical analysis software/languages (R, Python, SQL, & SAS) in addition to training in statistical modeling, data analysis, or computer programing.
  • Detail oriented with problem solving and critical thinking abilities.
  • Ability to apply common sense understanding to practical situations when carrying out instructions furnished in written, oral, or diagram form.
  • Effective verbal and written communication and interpersonal skills.

Education:

  • Bachelors Degree in: Mathematics, Statistics, Economics, Computer Science, Finance, or other quantitative fields.

Overtime required required on an as needed basis.

  • Travel 0-10% - as required on an as needed basis.
  • Must have reliable transportation and live within a commutable distance to one of the following cities: Atlanta, GA; Dallas, TX.

Qualifications Preferred:

  • Master's Degree and/or PhD in: Mathematics, Statistics, Economics, Computer Science, Finance, or other quantitative fields highly preferred!
  • Prior experience in commercial/dealer floorplan finance, asset-based lending, or captive auto finance is a plus. Familiarity with inventory-secured lending concepts (curtailment, dealer risk rating, out-of-trust monitoring) is highly desirable.

Work Environment

The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions. The noise level in the work environment is usually moderate.

Work Schedule

  • Ability to work between the hours of 8AM-6PM Monday through Friday and weekends as needed.

Stellantis Financial Services, Inc (SFS) is an equal opportunity employer and is committed to providing its employees with an environment that is free of harassment, discrimination, and intimidation. It is the policy of SFS to comply with all applicable employment laws and regulations and to provide equal opportunity for all qualified persons and to not discriminate against any employee or applicant for employment because of race, color, religion, sex, age, national origin, disability, pregnancy, sexual orientation, veteran status, gender identity or expression, change of sex, and/or transgender status or any protected status. Candidates must possess authorization to work in the United States. This policy applies to recruitment and placement, promotion, training, transfer, retention, rate of pay and all other terms and conditions of employment. Employment and promotion decisions will be based solely on merit, ability, achievement, experience, conduct and other legitimate business reasons.

An applicant must be authorized to work in the United States to be eligible for this position. Stellantis Financial Services, Inc. will not sponsor applicants for work visas of any type for this position.


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