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Job Summary

The MBPS Senior Data Scientist for Advanced Analytics is responsible for the hands-on development and implementation of advanced analytics models to improve business processes, and to generate insights in order to support the strategy and goals of the on-shore Analytics teams in North America. The role will also act as a liaison between MBPS and on-shore team through an initial business immersion and eventual knowledge transfer of business and technical knowledge to the rest of MBPS Advanced Analytics team.

Key Responsibilities:

•Develop & implement models to support Advanced Analytics team strategy and business pillar initiatives, and communicate results and impact to business.
◦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 versus incremental improvement
◦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
•Mentor and develop junior data scientists through business and technical knowledge transfer.
◦Gain expert knowledge on business and technical knowledge, processes and methods to align the on-shore Advanced Analytics teams
◦Act as liaison, which is a single point of contact for program updates and day-to-day management of MBPS analytics team
•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.
◦Develop a strategy for collaboration and knowledge-sharing with Analytics teams from other Divisions

Qualifications:

•Advanced degree in Statistics, Math, Computer Science, 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 and natural language processing
•Proficient in Python/R/SAS/Spark for machine learning, SQL/Python/Hive for data processing
•Track of record of delivering innovative analytical insights
•Strong commitment to organizational success and team work
•Adaptable and open to change with strong collaboration and communication skills
•Demonstrated data transformation & manipulation experience
•People leadership experience desired
•Insurance/Financial Services Experience desired
•Experience with Big Data platforms desired
•Experience with analysis of unstructured data desired

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 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. At the end of 2016, we had $977 billion (US$728 billion) in assets under management and administration, and in the previous 12 months we made almost $26 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.
Manulife is committed to supporting a culture of diversity and accessibility across the organization. It is our priority to remove barriers to provide equal access to employment. A Human Resources representative will consult with applicants contacted to participate at any stage of the recruitment process who request an accommodation. Information received regarding the accommodation needs of applicants will be addressed confidentially.


Primary Location : PH-Quezon City-PHQC-Manulife Building, UP North Science & Technology Park, Commonwealth Avenue
Business Unit : BPO - MTS - Gross
Job Function : Analytics Group
Job Type : Standard
Schedule : Full-time