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Annie Cheng
Manager, Fraud Strategy - Credit Cards at RBC
Professional Background
Annie Cheng is a seasoned professional in the realms of data analytics and cognitive science, with a profound understanding of human experiences that shape decision-making processes. Currently serving as the Manager of Fraud Strategy for Credit Cards at the Royal Bank of Canada (RBC), Annie is at the forefront of developing innovative strategies that enhance fraud detection and prevention measures. Her journey in the financial industry began at Manulife Asset Management, where she honed her analytical skills as a Business Systems Analyst. Over the years, she has transitioned into leadership roles, showcasing her capacity to effectively collaborate with cross-functional partners and drive impactful outcomes.
Annie’s previous role as a Senior Analyst in Fraud Data Science & Analytics at RBC allowed her to deep dive into complex data structures, drawing insightful conclusions that directly influence strategic decision-making. Early in her career, as a Junior Analyst at Conversion Marketing-Communication, she developed the foundational skills necessary to navigate the intricate world of data and analytics.
Education and Achievements
Annie Cheng's educational background is as robust as her professional journey. She earned her Honors Bachelor of Science degree from the prestigious University of Toronto, a program that equipped her with strong analytical and scientific skills. Annie further advanced her education by obtaining a Graduate Certificate from Seneca College of Applied Arts and Technology, where she delved into applied learning and real-world problem-solving methodologies. Additionally, she completed a Certificate of Completion at Yonsei University, further expanding her insights into global practices in analytics and design thinking.
Throughout her career, Annie has demonstrated an ability to leverage statistical techniques to manipulate data and derive meaningful insights. Her technical proficiency spans multiple analytical tools, including SAS, Python, R, SQL, Visio, and Tableau, allowing her to tackle complex business problems with confidence.
Notable Skills and Expertise
Annie Cheng is particularly known for her extraordinary capacity to drive leaders towards innovative strategies and uncover emerging areas of opportunity. Her strengths lie not only in her analytical prowess but also in her commitment to collaboration and diversity. Through effective teamwork, she has successfully bridged gaps between various departments, fostering an environment of open communication that leads to impactful decision-making.
Her expertise in data manipulation extends to her ability to handle large datasets and draw actionable insights from them, essential for businesses looking to stay ahead in today's data-driven landscape. Annie is passionate about utilizing her skills to enhance human experiences and ensure that every decision made is informed by a solid analytical foundation.
Achievements
Annie Cheng has consistently achieved noteworthy milestones throughout her career. A significant highlight of her tenure at RBC includes leading multi-disciplinary teams focused on fraud analytics, where her strategic insights have resulted in enhanced fraud prevention mechanisms that safeguard financial integrity.
Her collaborative nature and leadership skills have been instrumental in driving company-wide initiatives that not only improve operational efficiency but also promote an inclusive and diverse workplace culture. Annie is deeply committed to fostering environments that allow for innovative ideas to flourish, a value that resonates throughout her work.
Her ability to blend cognitive science principles with practical decision-making strategies positions her as a thought leader in her field, inspiring those around her to think critically about data and the insights it offers. Annie's dedication and expertise make her a vital contributor to any team, ready to tackle both present challenges and future opportunities with an open mind and an analytical approach.