Data Scientist

Toronto 8 days agoFull-time External
Negotiable
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 關於宏利和恒康 宏利金融公司是一家業界領先的國際金融服務商,致力於幫助人們實現「輕鬆投資理財,樂享豐盛人生」。若要進一步了解我們,請瀏覽https://www.manulifeim.com/institutional/tw/en. 宏利是平等機會僱主 在宏利/恒康,我們擁抱多元。我們致力於吸引、培養及挽留和所服務客戶同樣多元的員工,並從而營造包容的工作環境,接納文化和個體差異。我們矢志維持公平的招聘、挽留、晉升及薪酬制度,我們管理的所有實踐及項目不會因種族、血統、原籍地、膚色、族裔、國籍、宗教或宗教信仰、信仰、性別(包括懷孕及其相關情況)、性取向、遺傳特徵、退伍軍人身份、性別認同、性別表達、年齡、婚姻狀況、家庭狀況、殘疾或受適用法律保護的任何其他因素而區別對待。 我們的首要任務是消除障礙,為員工提供平等就業機會。人力資源部代表將盡力為應徵過程中提出要求的申請人提供合理協助。申請人要求提供協助所分享的信息將會按照適用法律及宏利/恒康政策儲存及使用。應徵過程中如需協助,請聯絡 recruitment@manulife.com。 Referenced Salary Location Toronto, Ontario Working Arrangement 混合式 Salary range is expected to be between $75,880.00 CAD - $140,920.00 CAD If you are applying for this role outside of the primary location, please contact recruitment@manulife.com 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 recruitment@manulife.com for more information about U.S.-specific paid time off provisions.