Hybrid Underwriting & Pricing Analyst

Judi Health, LLC; Denver (CO); Hybrid; USD 70,000 - 87,000; Full time

Job summary

Judi Health, LLC is seeking a pricing and underwriting professional to support day-to-day activities, refine financial models, and present underwriting results to leadership. The role collaborates with cross-functional teams to improve pricing, analytics, and reporting processes.

The ideal candidate has 1–3+ years in financial analysis or actuarial services, a strong command of Excel, data visualization tools, and SQL/SAS/R experience.

Qualifications

• Bachelor’s degree in Accounting/Finance/Actuarial Science/Statistics/Economics or equivalent.
• 1–3+ years in financial analysis, actuarial services, pricing & underwriting.
• Excel and data visualization skills; SQL/SAS/R experience preferred.

Responsibilities

• Support day-to-day pricing and underwriting activities for new and renewal business.
• Collaborate with Underwriting and cross-functional teams to improve processes and reporting.
• Assist senior underwriters with pricing strategies.
• Prepare underwriting materials and identify potential risks.
• Gather external data to support analysis and decision-making.
• Develop pricing models for new and existing products.
• Manage tasks across multiple projects and meet timelines.
• Maintain underwriting/financial reporting systems.
• Provide financial analytics and reporting support.
• Adhere to Code of Conduct and report noncompliance.

Skills

Excel

Data visualization

SQL/SAS/R

Analytical skills

Communication skills

Multi-project management

Attention to detail

Problem-solving

Education

Bachelor’s degree in Accounting, Finance, Actuarial Science, Statistics, or Economics

Tools

Excel

SQL

SAS

R

Job description

Judi Health, LLC is seeking a pricing and underwriting professional to support day-to-day activities, refine financial models, and present underwriting results to leadership. The role collaborates with cross-functional teams to improve pricing, analytics, and reporting processes.

The ideal candidate has 1–3+ years in financial analysis or actuarial services, a strong command of Excel, data visualization tools, and SQL/SAS/R experience.