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.
We are actively seeking bright, eager candidates who are immediately seeking to join Manulife’s Advanced Analytics Development Program for a 2021 Fall start.
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 Advanced Analytics Development Program (AADP) provides an opportunity to be a member of a cross-functional team that includes experts in predictive modelling and machine learning. The program is a 24 month program with 2-3 placements/rotations in data scientist roles with our Advanced Analytics teams. Each rotation can range from 8 to 12 months in duration and will provide graduates with exposure to multi-dimensional, complex analytic initiatives across all lines of business: insurance, retirement, wealth management and investments.
The placement and its duration depend upon a number of factors including the participant's development needs and the needs of the business. The program allows you the opportunity to make an impact in a global organization by working on diverse teams and projects and gaining exposure to international business. First placements are located in one of Manulife's Divisional headquarters; Toronto, Waterloo, Boston or Hong Kong. Subsequent placements could be at any one of our operations in Canada, US or Asia based on development needs of the participant and placement opportunities available.
How does Manulife differentiate as the employer of choice to build a career in Advanced Analytics?
1. Value At Manulife, Advanced Analytics is a change agent .
We are a business partner that helps with transforming the company using analytics to drive insight, action and value in everything Manulife does. The teams work closely with business leaders, build business cases and quantify the business value of the opportunity to the organization.
The successful candidate will work with the team and the business unit to:
Convert the business opportunity into an analytical problem
Measure the size of the opportunity
Determine key performance measures (KPIs) to track success.
Use a variety of statistical and machine learning techniques to solve the problem.
Demonstrate shared value through the conversion of algorithms into a business process.
2. Challenging opportunities exist for the data scientist and data engineer .
In these roles the successful candidate will gain exposure utilizing software such as R, Python or SAS.
The data scientist is expected to either have or develop expertise in techniques such as:
Classification and Regressions (Linear, Logit, Multinomial Logit, Poisson, Proportional Odds, Lasso, Ridge),
Clustering (Traditional, Bagged, Hierarchical)
GBM, SVD, SVM
Text Mining (TF-IDF, Latent Dirichlet and Similarity models)
Optimizations (Linear and Non-linear)
Simulations (MCMC) etc.
Seeking a candidate who is pursing a Masters or PhD in Data Science or a related field, and will graduate within 0-2 years of 2020
The scientist will apply these methods to solve business problems ranging from Marketing, Finance, Operations, Risk or Strategy domains across all of the organization’s geographies and divisions.
The Data Engineer will gain valuable experience with a number of data technologies that support software development, advance analytics and reporting including:
Hadoop (Hortonworks, Pivitol)
Statistical Packages (Matlab,)
Databases: HAWQ, HDB, MongoDB, Cassandra, HBase
Reporting and Data Visualization tools (Qlik, Tableau, Oracle etc)
Scripting Languages: Java, C++, PHP, Ruby
The engineer provides leadership and consultative support to data activities across the organization and is key to ensuring that the data environment supports value-add activities in analytics, decision making and direct customer facing activities.
3. Continuous Development
Manulife is committed to Learning and Development. The candidate will be hired into the Advanced Analytics Development Program and introduced to a seasoned and eminent analytic leader in the organization who will act as a mentor. Manulife’s analytic leaders have backgrounds ranging from Management Consulting, P&C, Life, Investments, Retirements and who have solved Business Problems for the likes of Walmart, Caterpillar, Lowes, AT&T, Farmers, Capital One, Google, HSBC to name a few.
Program participants will have access to and can expect to participate in:
Kaggle-style data science competitions
Team and networking events
Monthly Global Best Practice meetings
Presentations to Executives
Students graduating in 2022 and beyond will not be considered for this posting.
If you are ready to unleash your potential, it’s time to start your career with Manulife/John Hancock.
About Manulife Manulife Financial Corporation is a leading international financial services provider that helps people make their decisions easier and lives better. With our global headquarters in Toronto, Canada, we operate as Manulife across our offices in Canada, Asia, and Europe, and primarily as John Hancock in the United States. We provide financial advice, insurance, and our global wealth and asset management segment, Manulife Investment Management, serves individuals, institutions and retirement plan members worldwide. At the end of 2020, we had more than 37,000 employees, over 118,000 agents, and thousands of distribution partners, serving over 30 million customers. As of March 31, 2021, we had CAD$1.3 trillion (US$1.0 trillion) in assets under management and administration, and in the previous 12 months we made $31.3 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 155 years. We trade as 'MFC' on the Toronto, New York, and the Philippine stock exchanges and under '945' in Hong Kong.
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 email@example.com .