Enterprise Risk Modeling Specialist

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

Job summary

CVS Health is seeking a detail-oriented risk analytics professional to support Enterprise Risk Management (ERM) across quantitative models, regulatory deliverables, and risk processes. You will maintain models, analyze data, and work with subject matter experts to drive improvements.

The role emphasizes strong data skills, Python/R/SQL familiarity, and clear communication as you build ownership of complex models and recurring ERM activities within a collaborative team.

Qualifications

• Foundational experience with quantitative analysis, financial or statistical modeling, or related coursework.
• Proficiency in Excel with working knowledge of SQL and VBA.
• Strong attention to detail and thorough documentation.
• Ability to learn complex quantitative models and maintain them over time.
• Self-starter mindset with proactive problem solving.

Responsibilities

• Develop understanding of quantitative risk models, data flows, and business context.
• Support enterprise risk quantification, regulatory deliverables, and issue resolution.
• Collaborate with SMEs and cross-functional teams to interpret data and translate into analysis.
• Prepare and analyze complex datasets, perform profiling, cleansing, and QA checks.
• Use SQL, Excel, VBA, R, or Python to extract data, run analyses, and automate reporting.
• Document data sources, rules, models, and governance activities clearly and auditable.
• Support stress-scenario development and enterprise risk management initiatives.
• Communicate technical concepts to both technical and non-technical audiences.

Skills

Quantitative analysis

Financial modeling

Excel

SQL

VBA

Attention to detail

Self-starter

Education

Bachelor's degree or equivalent in quantitative field

Tools

PowerQuery

Python

R

Job description

CVS Health is seeking a detail-oriented risk analytics professional to support Enterprise Risk Management (ERM) across quantitative models, regulatory deliverables, and risk processes. You will maintain models, analyze data, and work with subject matter experts to drive improvements.

The role emphasizes strong data skills, Python/R/SQL familiarity, and clear communication as you build ownership of complex models and recurring ERM activities within a collaborative team.