Senior Actuarial Analyst

North American Search Group; Canada; On-site; CAD 80,000 - 120,000; Full time

Job summary

A prominent recruitment agency in Canada is seeking an experienced Actuary to lead core actuarial analysis, model development, and financial reporting. Ideal candidates will have ACAS or near ACAS qualifications, advanced Excel/VBA skills, and proficiency in SQL, Python, or R. Responsibilities include mentoring junior team members and collaborating cross-functionally with underwriting and claims teams. This role offers a dynamic environment focusing on innovation in actuarial tools and data visualization.

Qualifications

• ACAS or near ACAS qualification required.
• Strong expertise in Excel/VBA essential.
• Ability to handle large datasets and complex actuarial modeling systems.

Responsibilities

• Lead pricing, reserving, and forecasting activities.
• Build and refine rating models using internal data.
• Support quarterly and annual reserve reviews.

Skills

Advanced Excel/VBA skills

SQL

Python

R

SAS

Actuarial analysis

Data visualization

Complex modeling

Education

ACAS or near ACAS

Job description

• · Core Actuarial Analysis: Lead pricing, reserving, and forecasting
• · Model Development: Build and refine rating models, loss models, and experience studies utilizing internal data and external market trends.
• · Financial Reporting: Support quarterly and annual reserve reviews, preparing exhibits for regulatory and financial reporting.
• · Portfolio Intelligence: Monitor rate adequacy and loss experience to identify emerging trends and risk hotspots.
• · Cross-Functional Collaboration: Act as a technical consultant for Underwriting and Claims teams to support operational initiatives.
• · Automation & Innovation: Modernize actuarial tools and dashboards (SQL/Python/R) to increase efficiency and data visualization capabilities.
• · Mentorship: Provide peer reviews and coaching to junior team members, contributing to overall team development.

QUALIFICATIONS

• ACAS or near ACAS
• Advanced Excel/VBA skills are essential.
• · Proficiency in: SQL, Python, R, or SAS.
• · Experience handling large datasets and complex actuarial modeling systems.
• · Soft Skills: Strong ability to translate complex actuarial findings into "business English" for non-technical stakeholders.