Risk Data Scientist

This role provides the opportunity to support analytics-enabled initiatives by developing and delivering data analysis and models that address defined business needs post audit closure. As part of the Risk & Resiliency team, the role contributes to Manulife’s mission of helping customers make decisions easier and lives better by producing reliable, actionable insights from data. The successful candidate will work closely with internal teams and business stakeholders to execute analytics tasks across various use cases within the quality lifecycle. Through this role, they will gain hands-on experience working with real business data, established analytics processes, and end-to-end solution delivery.

Position Responsibilities:

• Develop and implement analytics-enabled solutions to improve business processes, generate insights, and support business strategy
• Own and deliver end-to-end analytics projects of moderate complexity, while contributing to larger, more complex initiatives
• Analyze large and complex datasets to generate actionable insights and translate findings into clear business recommendations
• Collaborate closely with business stakeholders and subject matter experts to understand data sources, processes, and business needs

Required Qualifications:

• Minimum of 5 years of applicable experience with advanced knowledge of programming languages and concepts (Python and SQL, SQL queries)  Knowledge in data visualization tools such as PowerBI, plotly, R Shiny, etc. (or other equivalent data visualization tools)
• Strong knowledge of machine learning and AI algorithms
• Degree in Statistics, Mathematics, Computer Science, Engineering, or a related field; or a Bachelor’s degree with equivalent technical experience
• Experience in designing and developing AI, NLP, and LLM powered solutions

Preferred Qualifications:

• Experience applying statistical modeling and machine learning techniques (e.g., regression, clustering, decision trees, survival analysis)
• Working knowledge of AI, GenAI, or advanced analytics toolkits and frameworks, including exposure to Retrieval-Augmented Generation (RAG)
• Exposure to cloud platforms (e.g., Azure, AWS, or GCP) for data processing, model development, or solution deployment
• Experience with data visualization tools such as Tableau, Qlik, or open-source libraries (e.g., ggplot, d3)
• Familiarity with relational database models and large-scale data environments
• Proficient in querying and analyzing both structured and unstructured data (SQL, NoSQL, JSON, MongoDB)  Experience designing or implementing scalable, end-to-end analytics processes with appropriate governance and tracking mechanisms
• Bilingualism (English and French) is an asset. If the successful candidate is in Québec, proficiency in both languages will be required to support clients from various provinces outside of Quebec.

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.

#LI-HYBRID

The role being advertised is an existing vacancy.

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 https://www.manulife.com/en/about/our-story.html.

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 protected].

Referenced Salary Location

CAN, Ontario, Waterloo, 500 King Street North

Working Arrangement

Hybrid

Base salary range is expected to be between

$94,430.00 CAD - $144,430.00 CAD

Employees also have the opportunity to participate in incentive programs and earn incentive compensation tied to business and individual performance. The actual base salary will vary depending on local market conditions, geography and relevant job-related factors such as knowledge, skills, qualifications, experience, and education/training. If you are applying for this role outside of the primary location, please contact [email protected] for the salary range for your location.

Manulife offers eligible employees a wide array of customizable benefits, including health, dental, mental health, vision, short- and long-term disability, life and AD&D insurance coverage, adoption/surrogacy and wellness benefits, and employee/family assistance plans. We also offer eligible employees various retirement savings plans (including pension and a global share ownership plan with employer matching contributions) and financial education and counseling resources. Our generous paid time off program in Canada includes holidays, vacation, personal, and sick days, and we offer the full range of statutory leaves of absence. If you are applying for this role in the U.S., please contact [email protected] for more information about U.S.-specific paid time off provisions.

We use data and analytics technologies, such as artificial intelligence (AI), and automated processing tools, to analyze and process the information you provide to us or third parties in the application process. For more information, please refer to our personal information collection statement.