Senior Data Scientist

Description

The Senior Data Scientist is responsible for leading Regional and BU level AI / ML and GenAI solution development to support the Underwriting topics.

Leveraging data and advanced analytics techniques based on in-depth understanding of insurance business

Build underwriting solutions both in-house and partner with reinsurers / vendors for underwriting summarization, risk evaluation, STP / streamlining purpose, by means of AI / ML models, data driven underwriting rules optimization and Generative AI.

Transforming analytical insights and solutions into business actions with measurable benefits, and integrating them into workflow process

The role also supports the Chief Analytics Officer in to deliver on the Asia VEA (Value Enabled by Analytics) and developing a robust, revenue generating, world class analytics.

Position Responsibilities :

Delivery of machine learning, AA, and AI capabilities focusing on underwriting and claims advanced analytics solutions

Management of campaign effectiveness and model maintenance across markets, and cross pollination of best practices

Tracking and reporting of VEA; identifying improvement opportunities and additional business initiatives

Supporting analytics data strategy focusing on data optimization / monetization opportunities using internal data, identifying external data sources to enrich Manulife analytics data base, as well as supporting data governance initiatives

Lead the development of advanced predictive / prescriptive models, and other analytical solutions for Asia markets to support the company’s profitable growth

Collaborate with global teams and other countries within the region to establish global modeling standard, governance, and a set of umbrella modeling solutions; ensure compliance with Analytics CoE standard to maintain analytics rigor and discipline

Establish and maintain regional / global model repository which captures, tracks and dynamically diagnose models-in-use

Provide expert guidance to the in-country Analytics team on conducting advanced quantitative analyses / modeling both technically and under the right domain / context

Support data strategy

Enable effective engagement with prospects / existing customers leading to higher new sales, repeat sales, leveraging data & advanced analytics models / techniques across all channels, eg Agency, Banca, Digital direct etc

Provide expert guidance to the in-country Analytics team on conducting advanced quantitative analyses facilitating effective targeting, segmentation, and identification of opportunities around cross-sell / up-sell, and marketing program optimization

Support Banca / digital channel expansion as well as raising sales efficiencies through data / analytics model driven targeting and personalized offer.

Recognize market, product and channel specific challenges, innovatively propose the most effective and efficient actions driven by analytics solutions which balances time-to-market with analytics rigor

Partner with regional / BU business stakeholders in prioritizing and optimizing activities / decisions driven by analytics solutions, in a customer-centric, need-based context

Guide and help the in-country Analytics team to design, develop and draw insights from campaigns – with a focus on the rigor required for analytics model development

Institute regional / BU level analytics result tracking / reporting capabilities, and develop / maintain regional best practices in campaign management

Liaise with modeling lead to deploy analytical campaigns across all distribution channels, including, but not limited to, Agency, Outbound, Direct and Third Party

Develop management reports to track CPM VEA

Identify root cause and improvement opportunities in case of underperformance

Escalate early risks and mitigation action points for respective markets

Develop next year business plan and targets by collaborating with markets

Required Qualifications :

8+ years of experience in Advanced Analytics, preferably within the retail financial services industry, prior experience in insurance / reinsurance domain is a huge plus

Hands-on experience of multivariate analysis, modeling, segmentation and UW / claim analytics using statistical techniques

Expert in both concept and building AI / ML models, also in using data mining languages / tools eg, some or all of Python, SAS, R, SQL or equivalents

Experience in any big data / cloud solution of Azure, Hadoop, Hive, Spark etc. is a plus

Strong experience in deploying analytics solutions including targeting, test and control development, response tracking and analysis

Experience translating complex business problems into analytical requirements and propose actionable solutions based on internal and external best practice.

Strong communication and presentation skills. Ability to persuade a wide range of colleagues

Ability to lead and build an initiative from scratch and to handle high level of ambiguity

Able to maintain strong, productive relationships with stakeholders and external partners

Able to work independently as well as a good team player

Highly regulated business environment by nature

Some analytical solution is difficult to measure the exact financial impact, or right on the path but no immediate big financial impact and how to align stakeholders

Data availability and data quality issues in certain markets can always be challenges to build sound analytical solutions

Deploying analytical findings require multiple efforts from multiple stakeholders from both regional and local

Managing stakeholders with conflicting objectives / priorities

When you join our team :

We’ll empower you to learn and grow the career you want.

We’ll recognize and support you in a flexible environment where well-being and inclusion are more than just words.

As part of our global team, we’ll support you in shaping the future you want to see.

About Manulife and John Hancock

Manulife Financial Corporation is a leading international financial services provider, helping people make their decisions easier and lives better. To learn more about us, visit .

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 .

Working Arrangement

Hybrid