Trusting Social
For credit card portfolio management, our mission is to optimize credit line management, credit limit setting, and collections. We utilize our expertise in data science to develop predictive models and analytics that forecast customer behavior and credit risk. Additionally, we leverage machine learning and AI techniques to identify patterns and insights in transaction data, customer behavior, and marketing campaigns. By collaborating with other teams, such as product development, marketing, and customer service, we aim to deliver a seamless and personalized customer experience across all touch points. Ultimately, our goal is to minimize risk and optimize portfolio performance metrics for the benefit of our customers.
Responsibilities
The ideal candidate will have a passion for utilizing data and analytics to optimize portfolio performance. The successful candidate will be responsible for analyzing large datasets, developing predictive models, and generating actionable insights for credit card portfolio management.
What we offer
Requirements
English
Speaking: Intermediate - Reading: Intermediate - Writing: Intermediate
Trusting Social is a Fintech AI company who pioneers alternative credit scoring for emerging markets using telecom data and other new data sources. We aim to provide credit scores for 1 billion unbanked consumers who currently do not have access to formal credit. We target emerging markets worldwide, with the initial focus on Southeast Asia and India.
Trusting Social is comprised of Ph.D. data scientists from Stanford Research Institute, Microsoft, IBM etc., and banking leaders from Goldman Sachs, Credit Suisse, and Barclays. Founded in Silicon Valley, Trusting Social is now headquartered in Singapore, with R&D lab in Ho Chi Minh, and offices in Hanoi, Manila, and Jakarta.
ITJobs is founded in 2014 in Vietnam and the primary goal is grow to one of the leading specialists in recruitment and selection of IT staff in Asia.