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Working Arrangement

Hybrid

Job Description

Job Responsibilities/Duties:

• Lead development of advanced predictive models including machine learning models, deep learning models, NPL, etc. to support analytics initiatives;

• Establish and maintain model repository which captures, tracks and dynamically diagnoses models-in-use;

• Full cycle Web App development for modeling output and deliverables;

• Provide guidance to Analytics Team on conducting advanced quantitative analyses to facilitate effective targeting, segmentation, and identification of opportunities around cross-sell/up-sell, retention and marketing program optimization;

• Lead complex data mining projects during creation, evaluation, and testing; and continuously improve machine learning usage and other modeling concepts;

• Innovate and find creative ways to source and use data to support modeling efforts utilizing structured and unstructured data; and big data technologies;

• Handle data sets from disparate sources using appropriate engineering methodologies, computational frameworks and systems;

• Work with cross-functional global team members to identify and prioritize actionable, high-impact insights across a variety of core business areas;

• Present findings, share insights, and make recommendations that impact sales; and communicate results in written, oral and presentation formats;

• Provide expertise on analytics concepts for broader advanced analytics group, and inspire adoption of advanced analytics, data engineering and data science across organization;

• Support recruitment, training, development, coaching and retention of best-in-class analytics talent;

• Mentor junior Data Scientists; and

• Supervise two subordinate Associate Data Scientists.

Minimum Requirements:

Master's degree or foreign equivalent in Statistics, Applied Mathematics, Data Science or related field and 2 years of experience in a data science role.

Experience must include:

• 2 years of experience developing probabilistic models using data mining and machine learning algorithms including GLMs, GBMs, SVMs, and NLP;

• 2 years of experience building models using unstructured data such as free text, images, and voice data;

• 2 years of experience with data analysis using Python, R, SQL and SAS;

• 2 years of data engineering and data management experience including data transformation and data manipulation;

• 2 years of experience presenting data reports statistical analysis;

• 1 year of experience in the retirement and investment industry;

• 1 year of experience recommending system and Neural Networks for model development validation, testing and implementation.

Experience may be gained concurrently.

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About John Hancock and Manulife

John Hancock is a unit of Manulife Financial Corporation, 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 globally, including Canada, Asia and Europe. We provide financial advice, insurance and wealth and asset management solutions for individuals, groups and institutions. Assets under management and administration by Manulife and its subsidiaries were CAD$1.3 trillion (US$1.1 trillion) as of June 30, 2021. Manulife Financial Corporation trades as MFC on the TSX, NYSE, and PSE, and under 945 on the SEHK. Manulife can be found at manulife.com.

One of the largest life insurers in the United States, John Hancock supports more than 10 million Americans with a broad range of financial products, including life insurance, annuities, investments, 401(k) plans, and education savings plans. Additional information about John Hancock may be found at johnhancock.com.

Manulife is an Equal Opportunity Employer

At Manulife/John Hancock, we embrace our diversity. We strive to attract, develop and retain a workforce that is as diverse as the customers we serve and to foster an inclusive work environment that embraces the strength of cultures and individuals. We are committed to fair recruitment, retention, advancement and compensation, and we administer all of our practices and programs without discrimination on the basis of race, ancestry, place of origin, colour, ethnic origin, citizenship, religion or religious beliefs, creed, sex (including pregnancy and pregnancy-related conditions), sexual orientation, genetic characteristics, veteran status, gender identity, gender expression, age, marital status, family status, disability, or any other ground protected by applicable law.

It is our priority to remove barriers to provide equal access to employment. A Human Resources representative will work with applicants who request a reasonable accommodation during the application process. All information shared during the accommodation request process will be stored and used in a manner that is consistent with applicable laws and Manulife/John Hancock policies. To request a reasonable accommodation in the application process, contact recruitment@manulife.com.

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