Senior Actuary, Mortality & Lapse Analytics (R&D)

International Association of Insurance Professionals (IAIP); Toronto; On-site; CAD 156,000 - 195,000; Full time

Job summary

Swiss Re is seeking a Senior R&D Actuary to lead mortality and lapse assumption development for Canadian and US life insurance portfolios. You will translate experience data into actionable insights for pricing, product development, and portfolio optimization, collaborating across market units and risk teams.

The role requires SOA fellowship with 7+ years of experience, strong analytical and communication skills, and proficiency with Excel, VBA, R, Python, SAS, and AXIS.

Qualifications

• Fellowship with the Society of Actuaries and 7+ years of relevant experience.
• Bachelor's degree in mathematics, statistics, actuarial science, or related field with demonstrated mathematical ability.
• Experience in mortality and lapse assumption development for life insurance products.
• Proven ability to translate complex findings into business recommendations.
• Strong communication skills for stakeholders and clients.

Responsibilities

• Lead experience analysis across Canadian and US life insurance portfolios.
• Develop mortality and lapse assumptions for pricing, in-force management, and valuation.
• Analyze data to identify drivers of mortality and policyholder behavior.
• Create analytics tools to improve monitoring and assumption accuracy.
• Collaborate across Canadian and US units with risk management and portfolio teams.
• Present findings to internal teams and clients; publish insights at industry events.

Skills

SOA Fellowship

Advanced analytics

Clear communicator

Mortality & lapse analysis

Education

Bachelor's in math/stat/actuarial

Tools

Excel

Visual Basic

R

Python

SAS

AXIS

Job description

Swiss Re is seeking a Senior R&D Actuary to lead mortality and lapse assumption development for Canadian and US life insurance portfolios. You will translate experience data into actionable insights for pricing, product development, and portfolio optimization, collaborating across market units and risk teams.

The role requires SOA fellowship with 7+ years of experience, strong analytical and communication skills, and proficiency with Excel, VBA, R, Python, SAS, and AXIS.