Quantitative ERM Analyst – Risk Modeling & Data Analytics

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

Job summary

CVS Health seeks a detail-oriented risk management professional to support Enterprise Risk Management across quantitative risk analysis and regulatory deliverables. You will help enhance models, collaborate with cross-functional teams, and contribute to governance and reporting within a dynamic health-care environment.

The role emphasizes strong data and technical skills, clear communication, and ownership of complex models and recurring ERM processes.

Qualifications

• Foundational experience with quantitative analysis, financial or statistical modeling, or complex analytical coursework or projects.
• Proficiency in Microsoft Excel, with working knowledge of SQL and VBA.
• Demonstrated attention to detail and commitment to accuracy, completeness, data integrity, and clear, well-organized documentation.
• Ability and willingness to learn complex quantitative models, understand how their components connect, and build the subject-matter expertise needed to maintain and enhance them over time.
• Self-starter mindset with the ability to ask thoughtful questions, identify issues, recommend practical improvements, incorporate feedback, and take increasing ownership of assignments.

Responsibilities

• Develop a deep understanding of assigned quantitative risk models and take ownership of maintenance and enhancement.
• Support the enterprise economic capital model by investigating issues, evaluating changes, testing and reconciling results, and explaining impacts.
• Collaborate with experts to collect and interpret data, understand definitions, and translate business information into quantitative analysis.
• Prepare and analyze complex datasets through profiling, cleansing, validation, reconciliation, transformation, and quality checks.
• Use SQL, Excel, and VBA, and optionally R or Python, to extract and transform data, perform analysis, support modeling, and produce reports.
• Maintain auditable documentation of data sources, rules, model methodologies, assumptions, changes, testing, results, and governance.
• Support stress-scenario development and enterprise risk quantification.
• Build relationships with stakeholders and communicate technical concepts clearly to varied audiences.
• Take ownership of assignments and proactively identify improvements in data quality, model controls, and processes.

Skills

Quantitative analysis

Financial modeling

Attention to detail

Communication of technical concepts

Self-starter mindset

Education

Bachelor's degree in a quantitative field

Tools

SQL

Excel

VBA

Python

R

Job description

CVS Health seeks a detail-oriented risk management professional to support Enterprise Risk Management across quantitative risk analysis and regulatory deliverables. You will help enhance models, collaborate with cross-functional teams, and contribute to governance and reporting within a dynamic health-care environment.

The role emphasizes strong data and technical skills, clear communication, and ownership of complex models and recurring ERM processes.