Actuarial Advisor

Jobtailor; Quebec; On-site; CAD 90,000 - 130,000; Full time

Job summary

Jobtailor in Quebec seeks an experienced Actuarial Analyst to lead analyses of complex claims, develop predictive models, and advise stakeholders. You will drive analytical solutions and mentor junior analysts in a collaborative environment.

The role demands strong SAS, Power BI, Python, and R skills, advanced French communication, and a proven track record in property and casualty insurance. You will collaborate across teams to deliver actionable insights.

Qualifications

• 5 to 10 years of relevant actuarial experience.
• Experience ideally within the property and casualty insurance industry.
• Bachelor’s degree in Actuarial Science, Mathematics, Statistics, or another related discipline.
• Strong expertise in predictive modeling, quantitative analysis, and statistical techniques.
• Proficiency in SAS, Power BI, Python, and R.
• Advanced French proficiency for daily communication and collaboration with Francophones.
• Technical leadership and actuarial expertise.
• Ability to analyze and synthesize complex issues and recommend innovative solutions.
• Ability to simplify complex technical concepts and tailor communications to diverse audiences.
• Proactive, curious, and continuous improvement mindset.

Responsibilities

• Lead analyses of complex claims, indemnity costs, and settlement expense issues.
• Develop, maintain, and enhance predictive models, analytical solutions, and business intelligence tools.
• Analyze performance indicators, claims frequencies, costs, and trends to identify risks, opportunities, and improvement areas.
• Advise business partners and operational teams with analyses and recommendations to influence decision-making.
• Provide technical leadership, mentorship, knowledge sharing, and professional development for actuarial analysts.
• Collaborate with stakeholders across the organization to address business needs and promote actuarial expertise.
• Synthesize, simplify, and communicate complex actuarial concepts to managers, executives, and operational partners.
• Adapt priorities in a fast-paced operational environment to evolving business needs and urgent situations.

Skills

Predictive Modeling

Quantitative Analysis

Statistical Techniques

Technical Leadership

Mentorship

Education

Bachelor's degree in Actuarial Science/Mathematics/Statistics

Tools

SAS

Power BI

Python

R

Job description

• Serve as a technical reference in claims actuarial science by leading analyses of complex claims, indemnity costs, and claim settlement expense issues
• Develop, maintain, and enhance predictive models, analytical solutions, and business intelligence tools
• Analyze performance indicators, claims frequencies, costs, and trends to identify risks, opportunities, and improvement areas
• Advise business partners and operational teams with analyses and recommendations to influence decision-making
• Provide technical leadership, mentorship, knowledge sharing, and professional development for actuarial analysts
• Collaborate with stakeholders across the organization to address business needs and promote actuarial expertise
• Synthesize, simplify, and communicate complex actuarial concepts to managers, executives, and operational partners
• Adapt priorities in a fast-paced operational environment to evolving business needs and urgent situations

Requirements

• 5 to 10 years of relevant actuarial experience
• Experience ideally within the property and casualty insurance industry
• Bachelor’s degree in Actuarial Science, Mathematics, Statistics, or another related discipline
• Strong expertise in predictive modeling, quantitative analysis, and statistical techniques
• Proficiency in SAS, Power BI, Python, and R
• Advanced French proficiency for daily communication and collaboration with Francophones
• Technical leadership and actuarial expertise
• Ability to analyze and synthesize complex issues and recommend innovative solutions
• Ability to simplify complex technical concepts and tailor communications to diverse audiences
• Proactive, curious, and continuous improvement mindset

Core Competencies

Demonstrates strong expertise in predictive modeling, quantitative analysis, and statistical techniques, with the ability to lead technical initiatives and mentor actuarial analysts. Proficient in communicating complex actuarial concepts to diverse audiences while adapting to evolving business needs.

Highest-signal resume keywords

• Predictive Modeling
• Quantitative Analysis
• SAS Proficiency
• Power BI Proficiency
• Technical Leadership

ATS Optimization Keywords

Hard Skills

• Actuarial Science
• Statistical Techniques
• Data Analysis
• Risk Assessment
• Claims Analysis

Soft Skills

• Communication
• Mentorship
• Proactive Mindset
• Curiosity
• Adaptability

Industry Keywords

• Property and Casualty Insurance
• Claims Management
• Business Intelligence
• Performance Indicators
• Indemnity Costs

Tools & Technologies

• Python
• R