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Associate Quantitative Risk Analyst Jobs in Dallas, TX

USAA

Senior Analyst, Credit Risk Strategy

Plano, TX · On-site

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 ...

PNC Bank

Technology Risk Advisor

Dallas, TX

Develops and mentors technology risk professionals while building organizational capabilities in quantitative risk analysis and risk-informed decision making. Risk Quantification Responsibilities:

US Bank

Fraud Risk Analyst

Irving, TX · On-site

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.

Us Bank

Fraud Risk Analyst

Irving, TX · On-site

$125 - $150/hr

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.

USAA

Lead Analyst, Credit Risk Strategy

Plano, TX · On-site

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.

Acrisure

Insurance and Risk Analyst

Dallas, TX · On-site

Responsibilities Risk Analysis and Assessment * Conduct comprehensive risk assessments for the real ... Associates and/or Clients. * Excellent customer service skills. * Highly organized and detail ...

Hilltop Holdings

Risk Analysis Associate

Dallas, TX · On-site

The Risk Analysis Associate is part of the Strategic & Risk Management team that helps build a ... This is a junior analyst role working in partnership with experienced SMEs to build knowledge of ...

Hilltop Holdings

Risk Analysis Associate

Dallas, TX

The Risk Analysis Associate is part of the Strategic & Risk Management team that helps build a ... This is a junior analyst role working in partnership with experienced SMEs to build knowledge of ...

Acrisure

Insurance and Risk Analyst

Dallas, TX · On-site

Responsibilities Risk Analysis and Assessment * Conduct comprehensive risk assessments for the real ... Associates and/or Clients. * Excellent customer service skills. * Highly organized and detail ...

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All JobsAssociate Quantitative Risk Analyst JobsAssociate Quantitative Risk Analyst Jobs in Dallas, TX

Associate Quantitative Risk Analyst information

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$15

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$65

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

As of Sep 7, 2026, the average hourly pay for associate quantitative risk analyst in Dallas, TX is $40.05, according to ZipRecruiter salary data. Most workers in this role earn between $29.47 and $48.75 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 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 Associate Quantitative Risk Analyst jobs in Dallas, TX?

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

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

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

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

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

Associate Quantitative Risk Analyst jobs near you
Infographic showing various Associate Quantitative Risk Analyst job openings in Dallas, TX as of August 2026, with employment types broken down into 1% As Needed, 72% Full Time, 24% Part Time, 1% Temporary, and 2% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $83,303 per year, or $40 per hour.

Senior Credit Risk Analyst

Braviant Holdings

Dallas, TX • Hybrid

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted yesterday

Job description

Title: Senior Credit Risk Analyst
Function: Credit Risk
Reports to: Head of Credit
Level: Mid-Level / Senior
Location: Addison, TX (5 days/week in-office)

Please note: This position is open to candidates within commuting distance to the DFW metro area only. Applicants must reside in Texas and be authorized to work in the United States. Applications from candidates outside of Texas will not be considered at this time. While we appreciate interest from all applicants, Braviant Holdings is unable to sponsor visas at this time.

Who We Are

Founded in 2015 and based in Chicago, IL, privately held Braviant Holdings, LLC is a leading provider of tech-enabled consumer credit products that combine breakthrough technology and cutting-edge machine learning to transform how people access credit online. Our next-generation approach to lending reduces credit barriers and creates a Path to Prime, helping millions of underbanked consumers build credit history, reduce their cost of borrowing, and take control of their personal finances. Braviant has been named multiple times to the Inc. 5000 list of fastest growing private companies and has been recognized as a Best Place to Work.

We are a lean team of approximately 40 people. Everyone rolls up their sleeves here, including this role.

Position Summary

The Senior Credit Risk Analyst supports the full credit risk lifecycle at Braviant, from originations strategy and underwriting analytics to portfolio monitoring and loss forecasting. This is a highly technical, execution-focused role for someone who is equally comfortable writing production SQL/Python, building a segmentation strategy, and presenting findings to senior leadership. You will work directly with the Head of Credit to develop and refine the risk strategies that drive portfolio performance across our direct mail and digital lending channels.

This is a hands-on, high-impact role suited for someone who is analytical, detail-oriented, and biased toward action, not just case review. 

What You'll Be Doing
  • Track and analyze key portfolio metrics including FPD, GNS, delinquency roll rates, and D2M performance across origination cohorts and risk segments
  • Build and maintain dashboards and recurring reporting that surface early warning signals and portfolio trends
  • Conduct vintage analysis, loss curve development, and cohort-level performance reviews to support monthly and quarterly business reviews
  • Support the design and evaluation of originations strategies, score cutoffs, and underwriting policy changes across DM and digital channels
  • Analyze the performance impact of ongoing A/B tests and pricing experiments, translating results into actionable recommendations
What You Will Bring
Required
  • 3 to 5 years of experience in credit risk, consumer lending analytics, or a closely related 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: scorecards, vintage analysis, delinquency curves, loss forecasting
  • Ability to communicate analytical findings clearly to non-technical stakeholders
 
Preferred
  • Experience in subprime consumer lending, fintech, payments, or another regulated financial services technology environment.
  • Familiarity with credit decisioning, underwriting strategy, or fraud detection
  • Experience working in a regulated financial services environment
  • Exposure to A/B testing, experimentation frameworks, or champion/challenger strategies
Benefits & Perks

Compensation at Braviant is competitive and commensurate with experience. Details will be discussed with qualified candidates during the interview process. In addition, we provide:

  • Comprehensive healthcare including medical, dental, and vision coverage
  • Generous paid time off, including PTO, sick time, and 13 company holidays
  • 401(k) with company contribution
  • Participation in annual discretionary bonus plan
  • Regular team and company gatherings
Braviant is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate on the basis of race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity or expression, age, marital status, veteran status, disability status, or any other characteristic protected by applicable law.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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