Senior Retirement Actuarial Consultant
| Company | Marsh & McLennan |
|---|---|
| Location | Toronto, ON, Canada, Calgary, AB, Canada, Ottawa, ON, Canada, Vancouver, BC, Canada |
| Salary | $103000 – $170500 |
| Type | Full-Time |
| Degrees | Bachelor’s |
| Experience Level | Senior |
Requirements
- Bachelor’s degree in Mathematics, Actuarial Science, or related field
- Fellow of the Society of Actuaries (FSA), working toward its completion a strong asset
- 6+ years of pension, mortality or financial modeling or related work experience
- Familiar with Canadian pension environment
- Excellent verbal and written communication skills
- Strong proficiency in Excel and working knowledge of the Microsoft Office suite
Responsibilities
- Provide leadership and support to the development of Intellectual Capital in the DB and DC practices, including data, analysis, and processes
- Coordinate, as part of varying project teams, to provide strategic consulting/technical advice directly to large clients on complex and challenging issues in the area of DB and DC consulting
- May serve as a lead consultant on medium and large clients and/or second on jumbo clients; work on cross-geography retirement teams and projects
- Act as a mentor and coach by motivating staff to deliver a high standard of work through on-the-job training and development (for example, foster a team environment, bring staff to client meetings, challenge technical growth, and prepare staff to take on more senior roles with their clients and projects)
- Participate as a significant team member with respect to sales by supporting new business proposals and extending the range of services provided to retirement and other lines of business’ clients as appropriate
- Manage project teams and budgets, and apply advanced professional and or technical know-how to client problems and to meet project objectives
- Hold significant responsibility for proactive revenue generation of existing clients and/or contributing in a meaningful way to new business efforts
Preferred Qualifications
- Programming experience, preferably R
- Strong interest in retirement intellectual capital development, such as mortality, retirement readiness, plan design strategy, or other emerging ideas
- Experience in mortality modelling and analysis