Are you looking for unlimited opportunities to develop and succeed? With work that challenges and makes a difference, within a flexible and supportive environment, we can help our customers achieve their dreams and aspirations.
This job description does not represent a comprehensive listing of job duties that are required of the employee performing this role.
We reserve the right to change duties or assign additional duties at any time with or without notice.
People Leader Role : No
Key Accountabilities :
Individual Accountabilities :
Develop & implement models to support divisional strategy and business pillar initiatives
Develop advanced analytics models in order to maximize ROI, revenue and overall profitability.
Perform needs analysis with business area (understand business problem & generate hypotheses)
Explore, generate & source data relevant to the hypothesis(internal, external, 3rd party)
Create, assess, evaluate & Iteratively improve models
Calculate model impact / ROI
Peer review other Data scientists work
Leverage sound judgment, balancing analysis effort vs incremental improvement
Measure & communicate analytic results & impact of analytics models
Implement measurement & documentation framework against all project work
Generate insights in such a way that the businesses can clearly understand the quantifiable value. Enable the business to make clear trade-offs between and among choices, with a reasonable view into the most likely outcomes of each.
Turn statistical and computational analysis into user-friendly graphs, charts, and animation. Enable those who aren’t professional data analysts to effectively interpret data.
Ability to communicate results and educate others through reports and presentations
Provide thought leadership around analytics methodology, tools, and measurement
Innovate & find creative ways to source & leverage data to support modeling efforts, leveraging structured & unstructured data, and big data technologies.
Collaborate with internal stakeholders to develop tools and services such as modeling, dashboard development, decision aids and business case analysis to drive innovation, strategic initiatives and recommend solutions.
Job Requirements :
Advanced degree in Statistics, Math, Comp Sci, Engineering or other related discipline (post-grad preferred)
Minimum of 5 years' experience specifically in statistical / data analysis and data mining, predictive modeling, cluster analysis, optimization
Proficient in Python, SQL, Java, R, VBA
Demonstrated data transformation & manipulation experience
Insurance / Financial Services Experience desired
Experience with Big Data platforms desired
Experience with analysis of unstructured data desired
If you are ready to unleash your potential, it’s time to start your career with Manulife / John Hancock.
Manulife Financial Corporation is a leading international financial services group that helps people make their decisions easier and lives better.
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 2018, we had more than 34,000 employees, over 82,000 agents, and thousands of distribution partners, serving almost 28 million customers.
As of June 30, 2019, we had over $1.1 trillion (US$877 billion) in assets under management and administration, and in the previous 12 months we made $29.
4 billion in payments to our customers. Our principal operations in Asia, Canada and the United States are 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.