Sun Life
Bilingual Associate Group Underwriter
Montreal, Quebec
Sponsorship not specifiedDetected 1 day ago
SOARNegotiationAccountingExcelRecruitingCommunicationProblem SolvingUnderwriting
About the role
- You are as unique as your background, experience and point of view.
- Here, you'll be encouraged, empowered and challenged to be your best self.
- You'll work with dynamic colleagues - experts in their fields - who are eager to share their knowledge with you.
Responsibilities
- Assess and manage risk by analyzing data relating to requests from existing customers or new business opportunities
- Partner with the sales and service team to provide outstanding client services and achieve profitability objectives
- Care Days available for self-care or care of others (i.e., family or others you may support) and Sick Days to support your well-being.
Requirements
- Develop a strong understanding of Sun Life's products and services, underwriting guidelines, systems and tools, pricing methodologies and market feedbacks
- Bilingualism (French, English, both oral and written) is required for the frequent interactions with English and French-speaking colleagues or internal partners across Canada and worldwide
- STEM-related degree (Science, Technology, Engineering, and Mathematics), Administration, Finance or Accounting degree or equivalent experience
Compensation
- 49,000/49 000 - 77,000/77 000
Benefits
- Develop a good understanding of the administrative, contractual and legislative Group Benefits environment
- Group Benefit knowledge is an asset
- Flexible Benefits from the day you join to meet the needs of you and your family
- Pension Plan participation starts immediately, and you are automatically enrolled.
- We help you save more with Sun Life automatic and matching contributions and by including both your salary and bonus when making contributions
Apply directly at Sun Life →Create a free account for alerts like thisView Sun Life immigration profile
This listing is sourced directly from Sun Life's careers page and normalized into a canonical job model.