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

Braviant Holdings

Senior Fraud Risk Analyst

Dallas, TX · On-site

Credit Risk Reports to: Head of Credit Level: Mid-Level / Senior Location: Addison, TX (5 days/week ... Analyze application and early performance data to identify fraud patterns, including synthetic ...

DATCU

Risk Analyst

Corinth, TX · On-site

... the credit union. Ensures compliance with established policies, procedures, and regulatory ... Monitor KRIs, analyze trends, and prepare risk reports and recommendations for management.

Frost Bank

Senior Credit Risk Officer

Fort Worth, TX · On-site

If so, being a Senior Credit Risk Officer with Frost could be for you. At Frost, it's about more ... trend analysis, and identification of emerging risks * Review and approve credit requests ...

T-Mobile

Sr Analyst, Credit Risk Mgmt

Frisco, TX · On-site

$84K - $152K/yr

Join our dynamic Credit Risk Management team as a Senior Analyst, and together, we'll conquer new challenges! At our core, we believe in a collaborative approach, and as a key player in our team, you ...

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

Credit Risk Analyst information

See Dallas, TX salary details

$36.6K

$112.7K

$195.4K

How much do credit risk analyst jobs pay per year?

As of Sep 3, 2026, the average yearly pay for credit risk analyst in Dallas, TX is $112,655.00, according to ZipRecruiter salary data. Most workers in this role earn between $81,600.00 and $139,000.00 per year, depending on experience, location, and employer.

What does a credit risk analyst do?

A Credit Risk Analyst assesses the creditworthiness of individuals or organizations by analyzing financial data, credit reports, and economic conditions. Their main goal is to determine the likelihood that a borrower will default on their financial obligations. They use statistical models, risk assessment tools, and industry knowledge to evaluate risk and help lenders make informed lending decisions. Credit Risk Analysts often prepare reports, recommend risk mitigation strategies, and monitor existing credit portfolios for potential risks.

What does a credit risk analyst do?

A credit risk analyst evaluates the creditworthiness of individuals or businesses seeking loans or credit cards. As a credit risk analyst, you must be systematic and thorough in examining each applicant’s financial information to provide a recommendation of whether or not your employer should grant credit to the applicant. Essentially, you are evaluating the risk to reward ratio of each loan applicant. Your job duties include the analysis of credit scores and credit reports, payment history, bank statements, and other financial statements. Depending on the scope of your job, you may collect this information directly from clients and inform them if the institution can approve or deny their credit or loan application.

What are the key skills and qualifications needed to thrive as a credit risk analyst, and why are they important?

To thrive as a Credit Risk Analyst, you need strong analytical skills, a solid understanding of financial principles, and typically a degree in finance, economics, or a related field. Familiarity with risk assessment tools, statistical software (such as SAS or R), and financial modeling systems is often required, along with relevant certifications like FRM or CFA being advantageous. Attention to detail, effective communication, and sound judgment are essential soft skills for presenting findings and collaborating with stakeholders. These competencies are crucial for accurately assessing creditworthiness, minimizing financial risk, and supporting informed lending decisions.

What are some common challenges faced by credit risk analysts when assessing new clients or loan applications?

Credit Risk Analysts often encounter challenges such as limited financial data, rapidly changing market conditions, and the need to balance risk with business growth objectives. They must carefully analyze incomplete or inconsistent client information while ensuring compliance with regulatory requirements. Collaborating with relationship managers and other departments is essential to gather additional insights and make informed recommendations, making strong communication and analytical skills crucial in overcoming these challenges.

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

AspectCredit Risk AnalystCredit Analyst
Primary FocusAssessing the risk of default on loans and credit productsEvaluating creditworthiness of individual or business applicants
Required CredentialsTypically a degree in finance, economics, or related field; certifications like CFA or credit-specific coursesSimilar credentials; often the same certifications or degrees
Work EnvironmentFinancial institutions, risk management departmentsBanks, lending institutions, credit departments
Industry UsageCommonly used in risk assessment and managementPrimarily in lending and credit evaluation

While both roles involve evaluating credit, a Credit Risk Analyst focuses on assessing the overall risk associated with credit portfolios, whereas a Credit Analyst evaluates individual credit applications. The roles often overlap in credentials and work environment, but their specific focus differs within the credit industry.

How much does a credit risk analyst earn?

The average salary for a credit risk analyst typically ranges from $60,000 to $90,000 annually, depending on experience, location, and industry. Entry-level positions may start lower, while experienced analysts with certifications can earn higher salaries and bonuses.

Is a credit risk analyst entry level?

A credit risk analyst can be an entry-level position, often requiring a bachelor's degree in finance, economics, or related fields. Some roles may require prior internship experience or familiarity with financial analysis tools, but many companies offer training for new graduates. Advancement typically depends on experience, skills, and certifications such as the CFA or credit analysis courses.

What is the average salary of a Credit Risk Analyst?

The average salary of a Credit Risk Analyst typically ranges from $60,000 to $85,000 per year, depending on experience, location, and industry. Professionals in this role often require strong analytical skills and knowledge of financial modeling tools.
More about Credit Risk Analyst jobs

What are the most commonly searched types of Credit Risk Analyst jobs in Dallas, TX?

The most popular types of Credit Risk Analyst jobs in Dallas, TX are:

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

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Credit Risk Analyst jobs near you
Infographic showing various Credit Risk Analyst job openings in Dallas, TX as of August 2026, with employment types broken down into 1% As Needed, 87% Full Time, 9% Part Time, and 3% Contract. Highlights an 88% Physical, 4% Hybrid, and 8% Remote job distribution, with an average salary of $112,655 per year, or $54.2 per hour.

Senior Fraud Risk Analyst

Braviant Holdings

Dallas, TX • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 25 days ago

Job description

Title: Senior Data Scientist
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 who move fast and hold ourselves accountable for real outcomes. Everyone here rolls up their sleeves - including this role.
About the Role
We are building and scaling a high-performance consumer lending platform and are looking for a Fraud Risk Analyst to help protect the business from identity fraud, first-party fraud, and credit abuse. This role sits at the intersection of fraud, credit, and analytics, and will directly impact early loss performance and portfolio quality. You will be responsible for identifying fraud patterns, building detection strategies, and implementing controls that prevent bad actors from entering the portfolio. This is a hands-on, high-impact role suited for someone who is analytical, detail-oriented, and biased toward action, not just case review. You will work closely with Credit, Product, Operations and Engineering to ensure fraud risk is properly identified and separated from credit risk in decisioning.
What You'll Be Doing
  • Analyze application and early performance data to identify fraud patterns, including synthetic identity, first-party fraud, and credit abuse.
  • Develop and implement fraud detection strategies, including rules, thresholds, and decisioning logic.
  • Monitor early performance (e.g., FPD, zero-pay accounts) to identify potential fraud-driven losses.
  • Distinguish fraud risk vs credit risk, improving approval quality and reducing early loss.
  • Evaluate and optimize third-party fraud tools and data sources (e.g., identity verification, device intelligence, consortium data).
  • Design and execute tests to evaluate fraud strategies and improve detection performance.
  • Work with Product and Engineering to implement fraud rules and ensure accurate execution in production systems.
  • Investigate emerging fraud trends and proactively recommend changes to controls and policies.
  • Collaborate with Operations or servicing teams to improve fraud identification post-origination.
  • Collaborate cross-functionally with other departments to ensure decisions align with business goals and risk appetite.

What You Will Bring
Required
  • Degree in Data Science, Applied Mathematics, Statistics, Economics, Computer Science or a related field
  • 4-6 years of experience in fraud, risk, or analytics, preferably in fintech, lending, or financial services
  • Strong analytical skills with experience using SQL, Python, Excel, or similar tools to analyze large datasets
  • Understanding of key fraud types, including synthetic identity and first-party fraud and familiarity with fraud tools (i.e. identity verification, device fingerprinting, consortium data)
  • Experience identifying fraud patterns or working with fraud detection strategies (i.e. credit washing etc.)
  • Ability to translate analysis into clear actions (rules, controls, strategy changes) and exposure to A/B testing, experimentation frameworks, or champion/challenger strategies
  • Passion for keeping your skills up to date and exploring new methodologies
  • The ability to distill complex problems and analysis into a clear and concise narrative

Preferred
  • Experience in subprime consumer lending, fintech, payments, or another regulated financial services technology environment.
  • Hands-on experience applying AI to fraud management

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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