Our Advanced Analytics teams use predictive modelling and machine learning on large volumes of data using the latest technology to drive value for the company.
Analytics is changing the world. Data professionals, it's your time to shine.
Retaining top talent is important to every organization's core capabilities. Advanced Analytics teams are developing machine learning and predictive models to identify key drivers of attrition to enable leaders to make better workforce decisions.
Insurance industry is undergoing a significant digital transformation across functions to form the basis for customer centricity. The Advanced Analytics team is deploying digital analytics measurement, reporting, and optimization frameworks to support the digital growth focus. Digital Analytics will enable Manulife to evaluate marketing effectiveness, facilitate data-driven digital interactions and personalization, and open new data channels to enrich our understanding of our customers.
Buying a life insurance product can be a lengthy and time-consuming process. To improve our customer experience, the Advanced Analytics team developed a predictive underwriting model that significantly reduces the time to underwrite a policy for qualified applicants. For those applicants, the algorithm can predict smoker status removing the need to undertake specific medical tests.
With extremely large volumes of daily insurance claims, identifying fraudulent claims can be a very challenging task. The current process for many organizations is very labour intensive. However, this represents an opportunity for our Advanced Analytics teams develop fraud detection models through supervised machine learning and anomaly detection techniques to better support our claims department.
Chief Analytics Officer
I’m a senior director in Asia regional Advanced Analytics team based in HK. Over the past year or so, this new regional team has come a long way activating the team mandate, which is to serve as the key business enabler by providing analytics solutions across the business value chain. This means turning complex data into insights, through in-depth quantitative analysis. It means uncovering customer product purchase path to recommend the next best offer to empower front-line sales staff. It also means building predictive models that predict the likelihood of future events throughout a customer’s lifecycle - be it likelihood to buy or likelihood to lapse, just to name a few, for better decision making. One of the predictive models we built for Japan was utilized for campaign targeting by local agency channel. The model predictions generated really strong incremental lift, and the campaign was able to more than double its average APE per lead.
The Asia regional analytics team only has a handful of team members. While all being seasoned analytics professionals, we each came in with unique areas of strength and expertise. It feels truly refreshing to work in an environment with such great team spirit where we learn from each other and back each other up when faced with challenges. Manulife operates in 12 countries in Asia. Working in the regional team also means there is great diversity in the people, business situations, and culture background that we deal with on daily basis. This, in my opinion, is the added benefit and excitement to the job.
We are continually looking for talented individuals to join our Advanced Analytics teams across the globe (Canada, USA and Asia). Below are some of our current opportunities:
With our full-time 24-month program in data science and data engineering for graduates, you’ll get world-class experience in multi-dimensional, complex analytic initiatives at a global financial organization. To learn more about the rotational program and job responsibilities, click the posting below.