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Director Risk Analytics Jobs in South Carolina (NOW HIRING)

Fox Rothschild

Risk Mitigation Analyst

Greenville, SC · On-site

... as directed by the Risk Mitigation Research Manager. ADDITIONAL FUNCTIONS: * Support special ... Experience using AI-assisted research tools or analytics platforms preferred. Knowledge, Skills ...

Sentar, Inc.

Risk and Integration Lead

Charleston, SC · On-site

Sentar is seeking a Risk and Integration Lead in Charleston, SC. This team assists the Director in ... Ability to direct, coach, and mentor floor analysts both outside cybersecurity events as part of ...

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All JobsRisk Analytics JobsDirector Risk Analytics JobsDirector Risk Analytics Jobs in South Carolina

Director Risk Analytics information

See South Carolina salary details

$10.2K

$131.8K

How much do director risk analytics jobs pay per year?

As of Sep 4, 2026, the average yearly pay for director risk analytics in South Carolina is $130,852.00, according to ZipRecruiter salary data. Most workers in this role earn between $130,800.00 and $130,800.00 per year, depending on experience, location, and employer.

What does a director risk analytics do?

A Director of Risk Analytics leads a team responsible for identifying, assessing, and mitigating risks that could impact an organization's financial health or operations. They use data analysis and statistical models to evaluate potential threats, develop risk management strategies, and report findings to senior leadership. This role often collaborates with other departments to implement risk controls and ensure compliance with industry regulations. Additionally, the Director of Risk Analytics stays updated on emerging risks and adapts analytics frameworks accordingly to protect the organization.

What are the key skills and qualifications needed to thrive as a director risk analytics?

To thrive as a Director of Risk Analytics, you need deep expertise in quantitative analysis, risk management frameworks, and a relevant advanced degree such as a master's or PhD in finance, mathematics, or statistics. Familiarity with risk modeling tools, statistical software (like SAS, R, or Python), and regulatory compliance systems is typically required. Outstanding leadership, strategic thinking, and effective communication skills distinguish top performers in this role. These capabilities are crucial for accurately assessing risk, leading analytical teams, and supporting informed decision-making across the organization.

How does a director risk analytics typically collaborate with other departments within an organization?

A Director of Risk Analytics frequently works cross-functionally, partnering with departments such as finance, compliance, IT, and operations to identify, assess, and mitigate risks. This role often leads discussions with business leaders to understand strategic objectives and develop data-driven risk management solutions. Effective collaboration ensures that risk policies are aligned with organizational goals and that analytics insights are integrated into decision-making processes across the company. Regular meetings, presentations of risk reports, and joint projects are common ways this collaboration is achieved.

What is the difference between Director Risk Analytics vs Risk Analyst?

AspectDirector Risk AnalyticsRisk Analyst
Required CredentialsBachelor's/Master's in Finance, Economics, or related; often certifications like FRM or CFABachelor's degree in Finance, Economics, or related; certifications like FRM or CFA are a plus
Work EnvironmentStrategic leadership, overseeing teams, high-level decision makingData analysis, risk assessment, reporting
Employer & Industry UsageFinancial institutions, insurance companies, large corporationsFinancial firms, banks, investment companies

The main difference between a Director Risk Analytics and a Risk Analyst lies in their level of responsibility and scope. Directors focus on strategic risk management, leading teams and making high-level decisions, while Risk Analysts handle data analysis and risk assessment tasks. Both roles require similar credentials, but the Director role involves more leadership and strategic planning.

What are popular job titles related to Director Risk Analytics jobs in South Carolina?

For Director Risk Analytics jobs in South Carolina, the most frequently searched job titles are:

What job categories do people searching Director Risk Analytics jobs in South Carolina look for?

The top searched job categories for Director Risk Analytics jobs in South Carolina are:

What cities in South Carolina are hiring for Director Risk Analytics jobs?

Cities in South Carolina with the most Director Risk Analytics job openings:

Director Risk Analytics jobs near you
Infographic showing various Director Risk Analytics job openings in South Carolina as of August 2026, with employment types broken down into 100% Full Time. Highlights an 50% In-person, and 50% Hybrid job distribution, with an average salary of $130,852 per year, or $62.9 per hour.

Sr. Data Scientist - Credit Risk

Purpose Financial

Greenville, SC • On-site

Full-time

Medical, Life, Retirement, PTO

Posted 16 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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