Director Data Science
4 weeks ago
The Data Science Director will lead Manulife's global practice area passionate about producer misconduct and account takeover fraud. This role requires a seasoned professional with extensive experience in graph database-based fraud detection practices and a proven track record of leading data science initiatives that deliver significant business value.
Responsibilities- Develop and implement a comprehensive data science strategy for fraud detection and prevention, focusing on producer misconduct and ATO practices.
- Lead a team of data scientists and machine learning engineers in the creation of predictive models and algorithms to identify and prevent fraudulent activities.
- Collaborate with cross-functional teams, including IT, Customer Experience, and Operations, to integrate data science solutions into the business processes.
- Stay abreast of the latest trends and technologies in fraud detection and data science, and implement standard methodologies within the team.
- Communicate sophisticated data-driven insights to non-technical partners to advise decision-making and strategy.
- Lead the end-to-end lifecycle of data science projects, from ideation to deployment and monitoring of models in production.
- Foster a culture of innovation, continuous learning, and data-driven decision-making within the team and the organization.
You obsess about customers, listen, engage and act for their benefit.
You think big, with curiosity to discover ways to use your agile approach and enable business outcomes.
You thrive in teams and enjoy getting things done together.
You take ownership and build solutions, focusing on what matters.
You do what is right, work with integrity and speak up.
You share your humanity, helping us build a diverse and inclusive work environment for everyone.
Advanced degree in Computer Science, Physics, Data Science, Statistics, or a related field.
Experience in full stack data science, with a focus on fraud detection and prevention.
Consistent record of leading data science teams and delivering impactful analytical solutions.
Strong understanding of AI and Machine Learning technologies and their applications in a corporate setting.
Experience with cloud analytics services, MLOps, and leading large-scale data science projects.
Excellent communication and leadership skills, with the ability to engage and influence partners at all levels.
A competitive salary and benefits packages.
A growth trajectory that extends upward and outward, encouraging you to follow your passions and learn new skills.
A focus on growing your career path with us.
Flexible work policies and strong work-life balance.
Professional development and leadership opportunities.
Manulife Financial Corporation is a leading international financial services group 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 Asia, Canada, and Europe, and primarily as John Hancock in the United States. We provide financial advice, insurance, and wealth and asset management solutions for individuals, groups and institutions. At the end of 2022, we had more than 40,000 employees, over 116,000 agents, and thousands of distribution partners, serving over 34 million customers. At the end of 2022, we had $1.3 trillion (US$1.0 trillion) in assets under management and administration, including total invested assets of $0.4 trillion (US $0.3 trillion), and segregated funds net assets of $0.3 trillion (US$0.3 trillion). We trade as ‘MFC’ on the Toronto, New York, and the Philippine stock exchanges, and under ‘945’ in Hong Kong.
Salary & BenefitsThe annual base salary for this role is listed below.
Primary Location: Toronto, Ontario
Salary range is expected to be between $107,730.00 CAD - $200,070.00 CAD
If you are applying for this role outside of the primary location, please contact for the salary range for your location. The actual salary will vary depending on local market conditions, geography and relevant job-related factors such as knowledge, skills, qualifications, experience, and education/training. Employees also have the opportunity to participate in incentive programs and earn incentive compensation tied to business and individual performance.
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 for more information about U.S.-specific paid time off provisions.
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Old Toronto, Canada Company 1 - The Manufacturers Life Insurance Company Full timeDescription The Opportunity The Data Science Director will lead Manulife's global practice area passionate about producer misconduct and account takeover fraud. This role requires a seasoned professional with extensive experience in graph database-based fraud detection practices and a proven track r
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Old Toronto, Canada Company 1 - The Manufacturers Life Insurance Company Full timeDescription The Opportunity The Data Science Director will lead Manulife's global practice area passionate about producer misconduct and account takeover fraud. This role requires a seasoned professional with extensive experience in graph database-based fraud detection practices and a proven track record of leading data science initiatives that deliver...
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Old Toronto, Canada Company 1 - The Manufacturers Life Insurance Company Full timeDescription The Opportunity The Data Science Director will lead Manulife's global practice area passionate about producer misconduct and account takeover fraud. This role requires a seasoned professional with extensive experience in graph database-based fraud detection practices and a proven track record of leading data science initiatives that deliver...
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