AVP, Accelerated UW and Analytics

PartnerRe Ltd.; Charlotte (NC); Hybrid; USD 100,000 - 130,000; Full time

Job summary

PartnerRe Ltd. in Charlotte, North Carolina is looking for an expert to lead advanced research and analytics for underwriting programs. You will develop methodologies for automated underwriting and collaborate closely with clients and actuaries to optimize risk selection.

With a minimum of 7 years in the life insurance sector and strong analytical skills, you will drive innovation while supporting internal governance and documentation standards. Proficiency in predictive modeling and relevant tools such as R and Python is essential.

Qualifications

• Minimum 7 years of experience in US life insurance or reinsurance.
• Understanding of predictive modeling concepts and emerging AI tools.
• Strong collaboration and stakeholder-management skills.

Responsibilities

• Lead the development of mortality and risk-selection methodologies.
• Evaluate third-party data sources and predictive models.
• Advise clients and internal teams on external underwriting data.

Skills

Analytical capability

Collaboration skills

Stakeholder management

Predictive modeling

Communication skills

Education

Bachelor’s degree in actuarial science or related discipline

Fellowship in the Society of Actuaries (FSA)

Tools

R

Python

SQL

Tableau

Power BI

Microsoft Office Suite

Advanced Excel

Job description

Job Description

PartnerRe is investing to further expand its presence in the US life market. This position is responsible for leading advanced research, analytics, and actuarial support for accelerated and automated underwriting programs. The role will partner closely with clients, pricing actuaries, underwriters, and a global data science team to develop and enhance mortality assumptions, assess emerging data sources, and support innovation in risk selection.

Job Summary

This role reports to the VP, Actuarial Innovation, US Life.

About the Role

Analytics, Assumptions, and Model Development

• Lead the development of industry‑leading mortality and risk‑selection assumption methodologies for accelerated and automated underwriting programs.
• Evaluate 3rd‑party data sources and predictive models, determining appropriate actuarial and analytical approaches to assumption setting and monitoring.
• Ensure that analytical models and assumptions reflect pricing guidelines, best practices, and regulatory expectations.

Client & Internal Collaboration

• Advise pricing actuaries, underwriters, and clients on the use of external scores, tools, and underwriting data in product and reinsurance structures.
• Lead projects with clients to design, calibrate, and optimize dynamic underwriting programs.
• Present technical insights and findings to internal stakeholders, clients, and industry audiences as appropriate.
• Collaborate with the Client Partners and pricing teams to support opportunity evaluation and broader client strategy.

Research & Innovation Leadership

• Provide subject matter expertise on underwriting, mortality modeling, and data quality.
• Identify and research emerging trends in automated and accelerated underwriting and develop recommendations for strategic adoption and market positioning.

Governance, Documentation & Monitoring

• Develop and maintain documentation to support internal peer review and governance.
• Lead the monitoring frameworks for ongoing performance evaluation of underwriting programs, scores, and models.
• Oversee and review the work of junior team members, providing technical coaching and guidance.
• Foster collaboration, accountability, and strong analytical standards across the AUW & Pricing function.

Work Experience and Qualifications

Technical Skills

You are a technically strong individual with demonstrated analytical capability, communication skills, and the ability to build strong partnerships across technical and non‑technical functions.

• Minimum 7 years of experience in US life insurance or reinsurance.
• Understanding of predictive modeling concepts, emerging AI agentic tools, and machine‑learning approaches.
• Up‑to‑date knowledge of trends in automated and accelerated life underwriting.
• Familiarity with life pricing, product development, or reinsurance analytics.
• Strong collaboration and stakeholder‑management skills, with experience presenting technical material to both actuarial and non‑technical audiences.
• Proficiency in Microsoft Office Suite and advanced Excel.
• Hands‑on experience with R, Python, SQL, Tableau, or Power BI is preferred.

Education

• Bachelor’s degree in actuarial science or related discipline.
• Fellowship in the Society of Actuaries (FSA).

Additional Information

PartnerRe provides a working environment in which diversity is valued, where all employees feel welcome, respected, and empowered to perform at their best. We invite you to learn more about D&I at PartnerRe.

PartnerRe is an equal opportunities employer.

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