1

Associate Quantitative Risk Analyst Jobs in McKinney, TX

Senior Credit Risk Analyst

Dallas, TX · Hybrid

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... quantitative role * Strong SQL skills; you write complex queries without a template * Strong experience with Python for data analysis and modeling * Working knowledge of credit risk concepts ...

Market Risk Senior Analyst

Coppell, TX · On-site

  • Medical

  • Life

  • Retirement

  • PTO

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 ...

Market Risk Senior Analyst

Coppell, TX · On-site

  • Medical

  • Life

  • Retirement

  • PTO

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 ...

Senior Credit Risk Analyst

Dallas, TX · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... quantitative role * Strong SQL skills; you write complex queries without a template * Strong experience with Python for data analysis and modeling * Working knowledge of credit risk concepts ...

Senior Analyst, Credit Risk Strategy

Plano, TX

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

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 ...

Senior Analyst, Credit Risk Strategy

Plano, TX · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

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 ...

Senior Analyst, Credit Risk Strategy

Plano, TX

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

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 ...

Fraud Risk Analyst

Irving, TX · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

In this role, you will analyze complex data, identify emerging fraud trends, and develop strategies ... Bachelor's degree in Quantitative field; Master's degree a plus This role requires working from a U.

Lead Analyst, Credit Risk Strategy

Plano, TX · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

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.

Principal Analyst, Risk Monitoring

Dallas, TX · Hybrid

$112K - $211K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

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 ...

Analyst, Credit Risk Mgmt - Strategy

Frisco, TX · On-site

$76K - $137K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Perform qualitative and quantitative analysis of credit polices to meet given objectives * Develop ... Prior consumer risk management experience a plus * Wireless / Telecom experience a plus #LI ...

Showing results 21-40

Associate Quantitative Risk Analyst information

See McKinney, TX salary details

$14

$37

$61

How much do associate quantitative risk analyst jobs pay per hour?

As of Aug 18, 2026, the average hourly pay for associate quantitative risk analyst in McKinney, TX is $37.57, according to ZipRecruiter salary data. Most workers in this role earn between $27.64 and $45.72 per hour, depending on experience, location, and employer.

What is an associate quantitative risk analyst?

Associate Quantitative Risk Analysts are entry- to mid-level professionals who help financial institutions and organizations assess and manage risk using mathematical models and statistical techniques. They analyze data to identify potential risks, develop risk management strategies, and support decision-making processes. Their work often involves using quantitative software, working with large datasets, and collaborating with other risk management and finance professionals. Typically, they have backgrounds in mathematics, statistics, finance, or related fields.

What are the key skills and qualifications needed to thrive as an associate quantitative risk analyst?

To thrive as an Associate Quantitative Risk Analyst, you need a strong background in mathematics, statistics, finance, and data analysis, typically supported by a relevant degree such as in finance, mathematics, or economics. Familiarity with statistical software (like R, SAS, or Python), financial modeling tools, and possibly certifications such as FRM or CFA is highly valuable. Strong analytical thinking, attention to detail, and effective communication are crucial soft skills for interpreting complex data and presenting findings. These competencies are essential for accurately assessing financial risks and supporting informed decision-making in risk management environments.

What are some common challenges faced by associate quantitative risk analysts in their first year, and how can they overcome them?

In their first year, Associate Quantitative Risk Analysts often encounter challenges such as adapting to complex financial models, learning to interpret large datasets, and effectively communicating technical findings to non-technical stakeholders. Navigating regulatory requirements and understanding the company's risk management framework can also be demanding. To overcome these obstacles, new analysts should proactively seek mentorship, participate in team discussions, and leverage internal training resources to build both technical and soft skills. Regular collaboration with colleagues in risk, finance, and IT departments can also provide valuable insights and accelerate professional growth.

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

AspectAssociate Quantitative Risk AnalystCredit Risk Analyst
Required CredentialsBachelor's in finance, economics, or related field; often some familiarity with quantitative methodsBachelor's in finance, economics, or related field; certifications like CFA or FRM are common
Work EnvironmentFinancial institutions, risk management teams, quantitative departmentsBanking, lending institutions, credit departments
Employer & Industry UsageUsed in risk modeling, data analysis, and quantitative assessmentsFocuses on assessing creditworthiness and loan risk

The Associate Quantitative Risk Analyst primarily focuses on developing models and analyzing data to measure financial risks, often working with quantitative tools. In contrast, a Credit Risk Analyst concentrates on evaluating the creditworthiness of borrowers and managing credit risk. While both roles require similar educational backgrounds and work within financial institutions, their core responsibilities differ—one emphasizes quantitative modeling, the other credit assessment.

What are popular job titles related to Associate Quantitative Risk Analyst jobs in McKinney, TX?

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

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

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

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

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

Infographic showing various Associate Quantitative Risk Analyst job openings in McKinney, TX as of August 2026, with employment types broken down into 1% As Needed, 69% Full Time, 27% Part Time, 1% Temporary, and 2% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $78,150 per year, or $37.6 per hour.

Senior Risk Analyst, Commercial Lending Analytics

Stellantis Financial Services

Dallas, TX • On-site

Full-time

Re-posted 8 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.


What Stellantis Financial Services employees say

Pay

Hours and flexibility

Workplace

Get the full story on Breakroom