Quantitative Enterprise Risk Management Analyst

Overview

This role supports the organization’s Enterprise Risk Management (ERM) program, with a focus on quantitative risk analysis, regulatory deliverables, and broader ERM activities. Work is conducted under the direction of ERM leadership and involves maintaining and enhancing quantitative models, supporting regulatory and risk-management processes, and partnering with subject matter experts across the enterprise.

Responsibilities

• Develop a deep understanding of assigned quantitative risk models, including data flows, calculations, assumptions, dependencies, controls, outputs, and business context; take increasing ownership of 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 and enterprise risk quantification and analysis of business.
• 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.

Compensation & Benefits

• Pay Range: $43,888.00 - $85,068.00
• This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors.
• Eligible for a bonus, commission, or short-term incentive program in addition to the base pay range listed above.

Benefits: Comprehensive benefits package (based on eligibility) including medical, dental, and vision coverage; paid time off; retirement savings options; wellness programs; and other resources.

Time Type / Weekly Hours

• Full time
• 40 hours per week

Additional Information

• Application window closes on: 11/27/2026
• Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.