Enterprise Risk Modeling Analyst — Quantitative Analytics

CVS Health; Oregon; Hybrid; USD 44,000 - 85,000; Full time

Benefits offered by this job

Medical, dental, vision

Paid time off

Retirement savings options

Job summary

CVS Health is seeking a detail-oriented, analytically minded risk analyst to support its Enterprise Risk Management program. You will work on quantitative models, data preparation, and governance, collaborating with cross-functional teams to enhance risk insights and regulatory deliverables.

The role emphasizes data quality, documentation, and the ability to explain complex analyses to both technical and non-technical audiences. Hybrid work options may apply.

Qualifications

• Foundational experience with quantitative analysis, financial or statistical modeling.
• Proficiency in Microsoft Excel, with working knowledge of SQL and VBA.
• Attention to detail and commitment to accuracy, data integrity, and documentation.
• Ability to learn complex quantitative models and maintain them over time.
• Self-starter mindset with curiosity and ownership of assignments.

Responsibilities

• Develop understanding of risk models, data flows, assumptions, and business context.
• Support enterprise economic capital model and risk-quantification tools.
• Collaborate with cross-functional teams to translate business information into analysis.
• Prepare and analyze complex datasets with profiling, cleansing, and validation.
• Use SQL, Excel, and VBA to extract data, perform analysis, and automate reporting.
• Maintain auditable documentation of data sources, rules, and governance.
• Support stress-scenario development and enterprise risk quantification.
• Communicate technical concepts clearly and raise issues promptly.

Skills

Quantitative analysis

SQL

VBA

Excel

Data integrity

Education

Bachelor's degree

Tools

SQL

VBA

PowerQuery

Job description

CVS Health is seeking a detail-oriented, analytically minded risk analyst to support its Enterprise Risk Management program. You will work on quantitative models, data preparation, and governance, collaborating with cross-functional teams to enhance risk insights and regulatory deliverables.

The role emphasizes data quality, documentation, and the ability to explain complex analyses to both technical and non-technical audiences. Hybrid work options may apply.