Actuarial Consultant (remote)

North American Search Group; Canada; Remote; CAD 70,000 - 110,000; Full time

Job summary

An established industry player is seeking an experienced actuarial professional to leverage predictive analytics in solving complex business challenges for insurance clients. This role involves strong analytical skills, effective communication, and the ability to translate actuarial concepts into actionable business solutions. You will work closely with sales teams and clients, providing insights that drive strategic decisions. If you have a passion for analytics and a solid background in the property and casualty insurance sector, this opportunity offers a chance to make a significant impact in a collaborative environment.

Qualifications

• 5-10 years of experience in an actuarial role in property and casualty insurance.
• ACAS or FCAS preferred, with strong analytical and communication skills.

Responsibilities

• Perform predictive analytics modeling for complex business problems in insurance.
• Communicate analytics usage and conduct client meetings and presentations.

Skills

Predictive Analytics

Statistical Modeling

Interpersonal Skills

Communication Skills

Actuarial Knowledge

Education

ACAS or FCAS

CSPA

Tools

SAS

Emblem

DataRobot

Python

R

Job description

• Communicate and advise on the use of analytics in a variety of contexts, including risk rating operations modeling and ERM.
• Support Sales in discussions with prospects and renewals.
• Perform sophisticated predictive analytics modeling to tackle complex business problems for insurance clients.
• Validation and interpretation of predictive analytics results.
• Analysis of customer data for statistical validity.
• Conduct meetings and presentations for clients as needed.
• Provide client feedback to product management & development.

QUALIFICATIONS

• ACAS or FCAS preferred but will consider near ACAS with appropriate work experience. CSPA a plus.
• 5-10 years of proven experience in an actuarial role in the property and casualty insurance and/or consulting industry.
• Experience using statistical modeling tools such as SAS, Emblem, DataRobot or others. Python and R are not required but are a plus.
• Knowledge of insurance underwriting and risk selection practices.
• Experience analyzing portfolios for profit/loss and pricing working for an insurance company or consulting company focused on insurance clients.
• Ability to translate actuarial concepts into business solutions.
• Strong interpersonal skills and the ability to work with all levels in the organization internally and with clients.
• Solid written, and verbal communication including presentation skills.