Nicolas Ang

Nicolas Ang

AI Product Manager @ MoneyLion

About Nicolas Ang

Nicolas Ang is an AI Product Manager at MoneyLion with a background in finance and extensive experience in data analysis and product management.

AI Product Manager at MoneyLion

Nicolas Ang is currently serving as an AI Product Manager at MoneyLion, where he has been employed since February 2020. His role involves overseeing AI-driven product initiatives and ensuring that these products align with the strategic goals of the company. MoneyLion, a financial technology firm, benefits from Nicolas's expertise in both data analysis and product management, derived from his previous professional experiences.

Professional Experience at Kaodim

Before joining MoneyLion, Nicolas Ang worked at Kaodim, a service marketplace based in Kuala Lumpur, Malaysia. During his tenure from 2017 to 2020, he held three significant roles: Data Analyst (2017-2018), Associate Product Manager (2019-2020), and Data & Strategy Manager (2019-2020). In these positions, he gained comprehensive experience in data analytics, strategic planning, and product management, contributing to the company's data-driven decision-making processes and product development.

Education Background in Finance

Nicolas Ang completed his Bachelor of Science in Finance at The Ohio State University. Attending the institution from 2013 to 2016, he acquired foundational knowledge in financial principles and practices. This academic background provided him with critical analytical skills and an understanding of economic systems, benefiting his professional roles in both data analysis and product management.

Experience in Data Analysis and Product Management

Throughout his career, Nicolas Ang has demonstrated expertise in both data analysis and product management. His roles at Kaodim allowed him to hone these skills, transitioning from data analytics to more strategic and managerial positions. His current role at MoneyLion leverages this dual expertise, enabling him to effectively manage AI-based product initiatives by integrating data-driven insights with strategic product planning.

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