5 Results for

Statistics Jobs in Greenville, SC

Jobs

Spartanburg, SC30+ days ago

Temporary

Letter of application with curriculum vitae, unofficial graduate transcripts, and contact information for a teaching reference should be emailed to Jessica Sorrells, Chair of Mathematics & Computer Science, at jessica.sorrells@converse.edu. We believe that a diverse faculty and staff are essential to achieving academic excellence; thus, we strongly encourage applications from candidates from all racial, ethnic, and cultural backgrounds.

Greenville, South Carolina30+ days ago

Remote

$60,466–$93,119 Per Year

This role supports the annual risk assessment process, maintains the model inventory, assists in planning validation schedules, and prepares model risk-related reporting. What You’ll Do: Perform Independent Validations: Validate models across credit risk, valuation, ALM, fraud, BSA/AML, operations, and marketing.

Greenville, South Carolina30+ days ago

Remote

$60,466–$93,119 Per Year

What You’ll Do: Assist in maintaining and developing quantitative models, including Interest Rate Risk (IRR), Asset Liability Management (ALM), Funds Transfer Pricing (FTP), customer behavior modeling, and stress testing. This role is responsible for developing and maintaining quantitative models and analytical tools that support balance sheet management, interest rate risk, stress testing, and customer behavior modeling.

Anderson, SC30+ days ago

As part of a world class company and a global Quality organization, this role combines expertise in data analytics, data systems, and business analysis to support New Product Development (NPD) and continuous improvement initiatives—delivering clear, decision-ready insights that can be understood by both technical and non-technical audiences. + Design and implement Power BI dashboards and reporting tools to monitor key quality KPIs combining data from different sources such as return rates, warranty claims, consumer stars, and supporting data to paint a clear picture of product health and enabling rapid root cause analysis.