We are seeking a motivated Data Scientist to join our Canadian Artificial Intelligence team, specializing in fraud detection. This role is pivotal in developing sophisticated AI and ML models to enhance fraud detection capabilities across our business operations. As a Data Scientist, you will develop and implement robust analytical solutions, applying both traditional and emerging machine learning and AI techniques, including outlier detection, link analysis, and fraud pattern recognition, while deploying applications on cloud platforms like Azure. You will work closely with multi-functional teams to design and implement fraud detection algorithms, contributing to improved security, customer experience, and operational efficiency. This role demands a blend of analytical expertise, strategic thinking, and a passion for innovation.
Position Responsibilities:
Fraud Detection and Modeling:
Utilize advanced statistical methods and machine learning techniques to analyze complex datasets, identifying fraudulent activities and patterns.
Develop and refine predictive models to enhance fraud detection accuracy, estimation, and efficiency.
Support Fraud Prevention Initiatives:
Collaborate with security and risk teams to develop strategies that prevent and mitigate fraud risks.
Implement real-time monitoring and alert systems for rapid fraud detection and response.
Product Development Insights:
Work closely with product development teams to integrate fraud detection capabilities into product offerings, ensuring robust security measures are in place.
Operational Efficiency:
Design and implement data-driven solutions to streamline fraud detection processes, improving operational efficiency and reducing false positives.
Enhance Customer Experience:
Analyze customer transaction data to identify suspicious behavior, ensuring a secure and seamless customer experience.
Collaborative Problem Solving:
Partner with cross-functional teams to understand business challenges related to fraud, translating them into data science projects and delivering impactful solutions.
Data Management and Governance:
Ensure data integrity, accuracy, and security while adhering to best practices and regulatory requirements for data management within the financial industry.
Continuous Learning and Innovation:
Stay abreast of emerging trends in fraud detection and data science, promoting a culture of continuous learning and innovation within the team.
Required Qualifications:
Years of experience
Proficiency in programming languages such as Python and experience with machine learning libraries/frameworks
Bachelor', Master's degree, or Ph.D. in Computer Science, Data Science, Statistics, Engineering, or a related field.
Preferred Qualifications:
Proven experience in data science, analytics, or a related field, with a focus on fraud detection preferred.
Proficiency in programming languages such as Python and experience with machine learning libraries/frameworks
Knowledge of professional software engineering practices & standard methodologies for the full software development process, including coding standards, code reviews, source control management, build processes, testing, and operations.
Experience with AzureML, Databricks, and PowerBI
Strong collaboration and elaboration skills; demonstrates a strong commitment to organizational success; shares resources and demonstrates knowledge across the organization.
Strong problem-solving skills and the ability to think critically and creatively to develop innovative solutions.
Excellent communication and collaboration skills, with the ability to work effectively in multi-functional teams.
Experience with Salesforce is preferred
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
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
Toronto, OntarioWorking Arrangement
Salary range is expected to be between
$75,880.00 CAD - $140,920.00 CADIf you are applying for this role outside of the primary location, please contact [email protected] 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 [email protected] for more information about U.S.-specific paid time off provisions.
Top Skills
Manulife Toronto, Ontario, CAN Office
250 Bloor St E,, Toronto, Ontario, Canada, M4W 1E6
Manulife Kitchener, Ontario, CAN Office
25 Water St S, Kitchener, ON, Canada, N2G 4Z4
Manulife Waterloo, Ontario, CAN Office
500 King St N,, Waterloo, ON, Canada, N2L
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