About Us:
We are dedicated to advancing mobile payment capabilities worldwide. In this endeavor, we confront dynamic, intricate, and ever-evolving risks, encompassing but not limited to fraud, CNP (card-not-present), ATO (account taken over), and abuse. We implement robust risk control solutions and leverage machine learning algorithms to proactively and agilely address these challenges.
Responsibilities:
... - Design and optimize security strategies for various risks, including but not limited to card theft, account theft, and fraud.
- Ensure the maintenance of a positive user payment experience while upholding effective risk control measures to achieve risk-experience optimization.
- Collaborate with cross-functional teams, including data, product, and technology, to enhance the capabilities of our global risk engine platform.
- Provide payment card theft risk control solutions to our global strategic partners, covering regions such as the United States, Europe, Hong Kong, Singapore, India, Malaysia, Indonesia, and more.
Job Requirements:
- Bachelor's degree in mathematics, statistics, finance, management, computer science, or related fields.
- A minimum of two years of relevant work experience in data analysis, with experience in industries such as banks, payment institutions, credit cards, and internet companies preferred.
- Proficiency in SQL for data processing is a mandatory requirement.
- Proficiency in SAS, Python, or R is considered a valuable skill.
- Strong analytical and problem-solving abilities.
- A collaborative and inquisitive mindset.
If you are keen on this role, do apply via this link or reach out to Bryant at 0164140218 or bryant.han@randstad.com.my
