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Senior Risk Analyst Jobs in Spartanburg, SC (NOW HIRING)

Morgan Corp.

Senior Estimator

Duncan, SC · On-site

$90 - $125/hr

Senior Estimator Department: Estimating Employment Type: Full Time Location: Spartanburg, SC ... Ability to perform and review self-perform work estimates and risk analyses. Benefits * Competitive ...

GTN Technical Staffing

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Senior / Lead OT Network Security Analyst

Spartanburg, SC · On-site

$93K - $122K/yr

Senior / Lead OT Network Security Analyst Location: Spartanburg County, SC Type: Direct Hire The ... Produce clear security reports, risk findings, and recommendations for both technical teams and ...

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All JobsRisk Analyst JobsSenior Risk Analyst JobsSenior Risk Analyst Jobs in Spartanburg, SC

Senior Risk Analyst information

See Spartanburg, SC salary details

$52.3K

$107.3K

$139.2K

How much do senior risk analyst jobs pay per year?

As of Aug 25, 2026, the average yearly pay for senior risk analyst in Spartanburg, SC is $107,323.00, according to ZipRecruiter salary data. Most workers in this role earn between $88,400.00 and $133,900.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a senior risk analyst?

To thrive as a Senior Risk Analyst, you need strong analytical skills, a solid grasp of risk assessment methodologies, and typically a degree in finance, economics, or a related field. Proficiency with risk management software, data analysis tools like Excel, and familiarity with regulatory frameworks such as Basel III or SOX is often required. Attention to detail, critical thinking, and effective communication are crucial soft skills for identifying, evaluating, and reporting risks. These competencies are vital for ensuring accurate risk identification and mitigation, supporting sound business decisions, and maintaining regulatory compliance.

How does a senior risk analyst typically collaborate with other departments to identify and mitigate risks?

Senior Risk Analysts regularly work with teams across the organization, such as compliance, finance, operations, and IT, to identify emerging risks and implement mitigation strategies. They often participate in cross-functional meetings, provide insights from data analysis, and help develop policies that address both regulatory requirements and business objectives. Building strong working relationships and communicating complex risk scenarios in an accessible way are key to ensuring coordinated risk management efforts. This collaborative approach not only helps in early detection of potential issues but also fosters a proactive risk culture within the company.

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

AspectSenior Risk AnalystRisk Analyst
Required CredentialsBachelor's degree, often certifications like FRM or CRMBachelor's degree, some certifications like FRM or CRM
Work EnvironmentFinancial institutions, insurance companies, consulting firmsFinancial firms, corporations, government agencies
Employer & Industry UsageUsed across finance, insurance, and consulting sectorsCommon in finance, banking, and insurance industries

The main difference is that Senior Risk Analysts typically have more experience, advanced certifications, and handle more complex risk assessments. They often lead projects and mentor junior staff, whereas Risk Analysts focus on data collection, analysis, and supporting risk management processes.

Do risk analysts make good money?

Risk analysts typically earn a competitive salary that varies by industry, experience, and location. According to industry data, the median annual wage for risk analysts is around $80,000, with experienced professionals earning over $100,000. Certifications like FRM or CRM can enhance earning potential, and strong analytical skills are essential in this role.

How much does a senior risk analyst make in the US?

A senior risk analyst in the US typically earns between $80,000 and $120,000 annually, depending on experience, industry, and location. They often require strong analytical skills, knowledge of risk management tools, and relevant certifications such as FRM or CRM.

What does a senior risk analyst do?

A senior risk analyst evaluates potential risks that could impact an organization’s financial health, operations, or reputation. They analyze data, develop risk mitigation strategies, and use tools like risk assessment software to inform decision-making. This role often requires strong analytical skills, industry knowledge, and relevant certifications such as FRM or CRM.

What is the salary of a senior risk analyst?

The salary of a senior risk analyst typically ranges from $80,000 to $130,000 annually, depending on experience, industry, and location. They often require strong analytical skills and proficiency with risk management tools and software.

What are popular job titles related to Senior Risk Analyst jobs in Spartanburg, SC?

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

What job categories do people searching Senior Risk Analyst jobs in Spartanburg, SC look for?

The top searched job categories for Senior Risk Analyst jobs in Spartanburg, SC are:

What cities near Spartanburg, SC are hiring for Senior Risk Analyst jobs?

Cities near Spartanburg, SC with the most Senior Risk Analyst job openings:

Senior Risk Analyst jobs near you
Infographic showing various Senior Risk Analyst job openings in Spartanburg, SC as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 89% Physical, 4% Hybrid, and 7% Remote job distribution, with an average salary of $107,323 per year, or $51.6 per hour.

Sr. Data Scientist - Credit Risk

Purpose Financial

Greenville, SC • On-site

Full-time

Medical, Life, Retirement, PTO

Posted 7 days ago

Purpose Financial rating

5.4

Company rating: 5.4 out of 10

Based on 6 frontline employees who took The Breakroom Quiz

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

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