Risk Management Position

We are seeking a highly detail-oriented, analytically minded, and intellectually curious self-starter for a risk management position that supports CVS Health's Enterprise Risk Management (ERM) program.

The successful candidate will combine strong data and technical skills with clear communication, sound judgment, and a collaborative approach.

Responsibilities:

• Develop a deep understanding of assigned quantitative risk models,including their data flows, calculations, assumptions, dependencies, controls, outputs, and business context,and take increasing ownership of their ongoing maintenance and enhancement.
• Support the enterprise economic capital model and other risk-quantification tools by investigating issues, evaluating and implementing changes, testing and reconciling results, and explaining the rationale and impact of updates.
• Partner with subject matter experts and cross-functional teams to collect and interpret data, understand source-system and business definitions, develop or validate assumptions, and translate business information into quantitative analysis.
• Prepare and analyze complex datasets through profiling, cleansing, standardization, validation, reconciliation, transformation, aggregation, trend analysis, and data-quality control checks.
• Use SQL, Excel, and, where applicable, VBA, R, or Python to extract and transform data, perform quantitative and statistical analysis, support modeling, automate processes, and produce repeatable reporting.
• Maintain clear, accurate, and auditable documentation of data sources, business rules, model methodologies, assumptions, limitations, changes, testing, results, and governance activities within designated systems and tracking tools.
• Support stress-scenario development and execution, enterprise risk quantification, analysis of business results, and production of reports and insights for senior management.
• Build productive relationships with internal and external stakeholders, communicate technical concepts clearly to technical and non-technical audiences, provide timely status updates, and raise issues promptly.
• Take ownership of assignments, ask thoughtful questions, incorporate feedback, and proactively identify opportunities to improve data quality, model controls, documentation, and process efficiency while supporting broader ERM initiatives.

Required 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.

Preferred Qualifications:

• Exposure to financial statements, statistical concepts, risk management, or scenario analysis.
• Experience using PowerQuery.
• Experience working with large or complex datasets, including data-quality review, reconciliation, and documentation.
• Experience using R or Python for data preparation, statistical analysis, modeling, visualization, or automation.
• Foundational knowledge of the health care industry, accounting, finance, or regulatory reporting.
• Experience with GRC, project-management, model-governance, or workflow tools.
• Intellectual curiosity and adaptability, with an interest in continuously learning about enterprise risks, regulatory requirements, and business processes.

Education:

• Bachelor's degree, or equivalent experience, in a quantitative, analytical, finance, business, or related field.

Benefits:

• Medical, dental, and vision coverage.
• Paid time off.
• Retirement savings options.
• Wellness programs.