ZipRecruiter

Log In

1

Credit Risk Analyst Jobs in South Carolina (NOW HIRING)

First American

Risk Analyst-ServiceMac

Fort Mill, SC · On-site

$64K - $85K/yr

Conducts risk assessments to ensure compliance with federal and state regulatory requirements ... and credit check as a condition of employment, where permitted by applicable law. Pay Range: $64 ...

Forge Search

Loan Review Officer

Greenville, SC · On-site

Evaluate borrower repayment capacity and verify the accuracy of assigned internal credit risk ratings. * Identify potential credit weaknesses, including deficiencies in underwriting, credit analysis ...

next page

Showing results 1-20

All JobsCredit Risk Analyst JobsCredit Risk Analyst Jobs in South Carolina

Credit Risk Analyst information

See South Carolina salary details

$34.3K

$105.7K

$183.3K

How much do credit risk analyst jobs pay per year?

As of Sep 1, 2026, the average yearly pay for credit risk analyst in South Carolina is $105,676.00, according to ZipRecruiter salary data. Most workers in this role earn between $76,600.00 and $130,400.00 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 South Carolina?

The most popular types of Credit Risk Analyst jobs in South Carolina are:

What are popular job titles related to Credit Risk Analyst jobs in South Carolina?

For Credit Risk Analyst jobs in South Carolina, the most frequently searched job titles are:

What job categories do people searching Credit Risk Analyst jobs in South Carolina look for?

The top searched job categories for Credit Risk Analyst jobs in South Carolina are:

What cities in South Carolina are hiring for Credit Risk Analyst jobs?

Cities in South Carolina with the most Credit Risk Analyst job openings:

What are popular job titles related to Credit Risk Analyst jobs in SC?

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

Credit Risk Analyst jobs near you
Infographic showing various Credit Risk Analyst job openings in South Carolina as of August 2026, with employment types broken down into 1% As Needed, 87% Full Time, 10% Part Time, and 2% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $105,676 per year, or $50.8 per hour.

Sr. Data Scientist - Credit Risk

Greenville, SC • On-site

Purpose Financial

5.4

Company rating: 5.4 out of 10

Based on 6 frontline employees who took The Breakroom Quiz

Respectful managers

Uninterrupted breaks

Learn more about Purpose Financialexternal

Full-time

Medical, Life, Retirement, PTO

Posted 13 days ago

Job description

Brand: Purpose Financial
Address: 322 Rhett Street, Greenville, South Carolina, United States - 29601
Purpose Financial, Inc. is an innovative consumer financial services company that offers a diverse suite of credit products, promoting financial inclusion and meeting consumers wherever they are. Through its brands, the company is committed to helping customers achieve their version of financial stability in the moment and in the future. Since 1997, Purpose Financial has been a pioneer in the consumer credit and financial services market offering money solutions in over 800 storefronts locations and online lending. Providing services in over 23 states, Purpose Financial employs over 2,500 team members.
At Purpose Financial we are always on the lookout for motivated individuals who share in our values of mutual respect to join our team of outstanding professionals.
We offer:
  • Competitive Wages
  • Health/Life Benefits
  • Health Savings Account plus Employer Seed
  • 401(k) Savings Plan with Company Match
  • Paid Parental Leave
  • Company Paid Holidays
  • Paid Time Off including Volunteer Time
  • Tuition Reimbursement
  • Business Casual Environment
  • Rewards & Recognition Program
  • Employee Assistance Program
  • Office in downtown Greenville that offers free parking, onsite gym, free snacks/drinks

To learn more about Purpose Financial visit Purpose Financial Website.
Position Summary
Purpose Financial is seeking a Senior Data Scientist, Credit Risk to serve as the dedicated modeling and analytics resource for our Line of Credit (LOC) products. This role owns the credit risk analytics agenda for our LOC products end to end: acquisition scoring, initial line assignment, line management, utilization and draw behavior, loss forecasting, and portfolio performance monitoring across Storefront, Digital, and Lead Generation channels.
The ideal candidate has built credit models for revolving or line-based products, and can translate borrower behavior into line strategy, credit policy, and forecasted financial outcomes.
This role sits within Credit Risk and Data Science, reports to the Director of Data Science & Credit Risk. and partners closely with Finance, Digital Operations, Collections, Product, and Compliance. The successful candidate is comfortable operating with a high degree of independence, moving from ambiguous business question to defensible analytical answer, and presenting that answer to senior leadership.
Job Responsibility
  • Serve as the dedicated credit risk data science resource for the LOC portfolio, owning the model and analytics roadmap for the product.
  • Develop, validate, and maintain machine learning and statistical models across the LOC customer lifecycle, including application scoring, initial line assignment, line increase and line decrease strategy, reauthorization, and behavioral scoring.
  • Build and refine LOC-specific risk metric.
  • Design and execute champion/challenger tests and controlled experiments to optimize line assignment, fee structure, reauthorization criteria, and offer terms across customer segments and origination channels.
  • Produce and defend loss forecasts for the LOC portfolio, including vintage curve development, roll rate analysis, and survival or hazard-based approaches suited to open-ended revolving exposure where traditional vintage diagonals are less informative.
  • Partner with Finance and Product on net charge-off forecasting, net yield analysis, and budget reforecast cycles, explaining variance between forecast and actual performance in terms of mix, vintage quality, and policy change.
  • Recommend credit policy actions grounded in analysis, including tightening or loosening thresholds, segment-level cutoffs, and line sizing changes, and quantify the expected volume, loss, and revenue tradeoff of each action.
  • Evaluate alternative and bureau data sources for incremental lift in the LOC population and integrate them into production models as they become available.
  • Document models to standards consistent with model risk management expectations, supporting internal validation, audit, and regulatory review.
  • Present findings and recommendations to the Credit Risk Review Committee and other senior audiences, translating technical work into clear business implication.
  • Mentor junior data scientists and analysts on modeling technique, credit domain knowledge, and analytical rigor.

Accountability: Understand, adhere to, and enforce all corporate policies.
Job Responsibilities Cont.
Education Required
Bachelor's degree in Statistics, Economics, Mathematics, Computer Science, Engineering, or a related quantitative field. Advanced degree strongly preferred.
Experience Required
At least three (3) to five (5) years of experience in credit risk analytics, credit modeling, or a closely related quantitative role within consumer lending. Direct experience building and deploying credit risk models in a production lending environment is required.
Experience with revolving or line-based credit products, such as lines of credit, credit cards, or open-ended installment structures, is strongly preferred. Experience in the non-prime or subprime consumer segment is a significant advantage.
Knowledge Required
Excellent written and verbal communications skills; adaptability and flexibility to changing environment; and comfortable working in a dynamic, high volume, fast-paced environment. Ability to understand and ensure compliance with policies, procedures, and laws governing our industry/business and products.
  • Demonstrated ability to build production credit risk models using Python or R, including gradient boosting methods, logistic regression, and survival or time to event techniques.
  • Working fluency with the Python data science stack, including Pandas, NumPy, scikit-learn, XGBoost or LightGBM, and SHAP or comparable explainability tooling.
  • Strong SQL skills and the ability to work independently against large, imperfect transactional data.
  • Understanding of consumer credit fundamentals: probability of default, exposure at default, loss given default, roll rates, vintage analysis, and reserve or allowance concepts.
  • Familiarity with the regulatory environment governing consumer lending, including ECOA and Regulation B, FCRA, adverse action requirements, fair lending, and disparate impact considerations, UDAAP, and model risk management expectations consistent with SR 11-7.
  • Experience with reporting and visualization tools such as Tableau or Power BI.
  • Experience with data engineering practices, version control, and reproducible analytical workflows is a plus.
  • Excellent written and verbal communication skills, including the ability to present technical analysis to non-technical executive audiences in person, by phone, and through email.
  • Adaptability and flexibility to changing environment; and comfortable working in a dynamic, fast-paced environment. Ability to interact professionally and exhibit appropriate social skills. Ability to understand and ensure compliance with policies, procedures, and laws governing our industry, business, and products. Ability to quickly learn all technology needed to perform the role.

Physical Requirements
Sitting for long periods of time; standing occasionally; walking; bending; squatting; kneeling; pushing/pulling; reaching; twisting; frequent lifting of less than 10 lbs., occasional lifting of up to 20 lbs.; driving and having access during the workday to an insured and reliable transportation; typing; data entry; grasping; transferring items between hands and/or to another person or receptacle; use of office equipment to include computers; ability to travel to, be physically present at, and complete the physical requirements of the position at any assigned location
Competencies
OKR
Travel
0-10%
Attire
Business Casual
Other
Must be eligible to work in the USA and able to pass a background check.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or disability.
Requisition ID: 46570

What Purpose Financial employees say

Pay

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply