Overview:
As the Actuarial Analyst II, you will be responsible for conducting analyses on rate setting, reserving, claims and revenue forecasting, stochastic modelling, reinsurance pricing and commutations and other actuarial analyses on an as needed basis. The Actuarial Analyst II will also collaborate with staff from other areas such as Pricing, Reinsurance, Valuation, Underwriting, Capital Management, Enterprise Risk Management, Investments, Finance and Customer & Product Value to work on joint tasks and projects.
MPI is committed to growing actuarial talent at MPI. The Actuarial Analyst II will have access to MPI's Actuarial Development Program (ADP) which provides actuarial analysts with support and resources needed as they work towards attaining Fellowship. The position will also have the opportunity to rotate into other actuarial areas at MPI.
Responsibilities:
Acquire the underlying claims and policy data from the Corporation's Enterprise Data Warehouse.
Liaise with applicable departments and committees to acquire and develop business knowledge.
Perform complex actuarial analyses using actuarial and/or statistical tools, techniques, and software.
Conduct forecasting analyses on claims, premiums, and exposures for all lines of business.
Create and maintain monthly executive reporting on claims, premiums and exposures for all three lines of business.
Deliver data driven insights in a clear and concise way to all stakeholders.
Communicate and illustrate the story that the data is telling the audience.
Collaborate with staff from other areas such as Claims, Commercial Lines, Valuation, Pricing, Capital Management, Financial Planning & Analysis and Enterprise Risk Management to work on joint tasks and projects.
Qualifications:
Education:Post-Secondary degree with an Actuarial Science, Mathematics, or Statistics Major.
Successful completion of a minimum of three Casualty Actuarial Exams.
Experience:Experience in an actuarial environment is an asset.
Technical Knowledge and Skills:Advanced Microsoft Excel and VBA skills.
Working knowledge of PowerBI, R, SQL, and Python would be considered an asset.
Strong broad-based analytical skills.
Proven ability to communicate effectively (verbally and written with individuals at all levels).
Well-developed interpersonal skills.
Strong attention to detail.
Strong ability to work independently and under pressure in a fast-paced environment.
Excellent organizational and time management skills, including the ability to work with changing priorities and timelines.
Ability to work with confidential and sensitive corporate information.
Employee Benefits:
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