Description
Are you looking for unlimited opportunities to develop and succeed? With work that challenges and makes a difference and a flexible and supportive environment, we can help our customers achieve their dreams and aspirations.
The Experience Analytics Centre of Expertise (CoE) provides Canadian Division management with confidence in the recommended experience analytics strategy. Experience Analytics CoE is a customer-centric team performing a critical role within divisional finance as a key component of monitoring product risk. The role of the Experience Analytics team is to measure and monitor the actuarial expectance against the actual experience (reviewing assumptions such as mortality, lapse, morbidity, withdrawals, etc.). Additionally, when there are deviations, this group is responsible for studying the data to develop recommendations that would flow into pricing and valuation models. Reporting to the Director, Experience and Predictive Analytics, the incumbent will act as a technical lead on predictive analytics for the team and support modelling and programming efforts. The Senior Analyst will also be responsible for monitoring emerging trends on Mortality, Morbidity, and Policyholder behavior (for example, recommending new experience assumptions for use in Pricing and Valuation, and providing critical analytical and business decision support). This highly collaborative role requires a balance of strong communication and technical skills, and the ability to support multiple projects and conflicting priorities while working with multiple stakeholders both locally and remotely. An innovative and change-positive mindset will help the incumbent be successful, as we seek to constantly improve our workflow and processes. Key Accountabilities:
Act as the predictive analytics technical lead, and provide support (both mathematical theory, coding, and execution) on a number of projects and experience studies
Collaborate with Pricing and Valuation actuaries to support an efficient implementation of experience assumptions in the actuarial models
Contribute expertise to the successful completion of the annual experience monitoring review
Assure all required data checks and reconciliations, data analysis, trending and development of assumptions are vetted and complete as part of the experience studies for Retail and Institutional products
Provide a clear understanding to the development of required Experience Studies and reporting to support the business
Contribute to product development projects and system conversion projects to ensure the consideration of experience monitoring requirements
Present findings, recommend assumptions and produce detailed management study reports using user friendly visualization, presentations
Stay abreast of new techniques and technologies in the predictive analytics space
Apply technical and business knowledge to identify, analyze and solve problems
Keep develop and champion standards, technologies, and methodologies Customer Service
Build effective relationships and establish a high level of credibility with all levels of management across the various functions and divisions
Understand their role as it relates to the services provided by the Experience Analytics CoE within the Service Level Agreement
Highly collaborative and contagiously enthusiastic about predictive analytics Qualifications
3+ years of experience with a focus on data processing, data analysis and reporting writing
Post-secondary education in Computer Science, Mathematics, Engineering, Actuarial Science or a related field is required
Experience in data science, in particular comfort around the use of generalized linear models
Experience with visualization tools (Qlikview preferred)
Programming experience in MS Office applications (Access, Excel, Word, PowerPoint, MS SQL, VBA) for data analysis and report writing
Proficient in R
Excellent oral and written communication skills with influencing and negotiation abilities
Demonstrates working knowledge of technical aspects of work and able to apply an understanding of key principles
Demonstrates commitment towards continuously updating knowledge and skills, and incorporates feedback. A quick learner with strong technological intuition
General understanding of insurance products and associated risks
Self-starter with the ability to work independently, particularly in the area of using sound, independent judgment, problem-solving, organizing, planning and analytical skills Location: anywhere in Canada About Manulife Manulife Financial Corporation is a leading international financial services group that helps people achieve their dreams and aspirations by putting customers’ needs first and providing the right advice and solutions. We operate primarily as John Hancock in the United States and Manulife elsewhere. We provide financial advice, insurance, as well as wealth and asset management solutions for individuals, groups and institutions. At the end of 2016, we had approximately 35,000 employees, 70,000 agents, and thousands of distribution partners, serving more than 22 million customers. As of September 30, 2017, we had over $1 trillion (US$806 billion) in assets under management and administration, and in the previous 12 months we made $27.1 billion in payments to our customers. Our principal operations are in Asia, Canada and the United States where we have served customers for more than 100 years. With our global headquarters in Toronto, Canada, we trade as ‘MFC’ on the Toronto, New York, and the Philippine stock exchanges and under ‘945’ in Hong Kong.
