Risk Analytics Specialist
4 hours ago
Experienced (Individual Contributor)
SeaMoney is a part of Sea Group, a leading global consumer internet company. SeaMoney’s mission is to better the lives of individuals and businesses in our region with financial services through technology. SeaMoney’s offerings include mobile wallet services, payment processing, credit offerings, and related digital financial services and products. These are available in seven markets across Southeast Asia and Taiwan under various brands, including ShopeePay, SPayLater, and other brands.
Job Description:
Design and drive implementation for consumer and SME loan’s collection strategy regionally, including but not limited to workflow design, phone collection, site collection, legal procedure, outsourced management, etc.
Work closely with (1) local teams to consolidate CRM related system requirements and, (2) Product/Development teams to oversee implementation plans.
Monitor and manage Auto-Dialler system, involving in setting KPI, report monitoring, parameter management, call strategy alignment and initiation and enhancement.
Study business operations and the local market to make determinations about its ongoing competitive outlook.
Regularly communicate with local collection teams, perform travelling to local markets and provide advanced training.
Conduct necessary data analysis and UAT plan, monitor key performance indicators, present findings and recommendation to senior management.
Requirements:
Minimum 2 years of experience in the loan collection, credit risk management or project management area. More experienced candidates may be considered for lead positions.
Bachelor Degree and above from a worldly recognised university with good academic credentials.
Excellent analytical thinking and solid experience in data management.
Comfortable with ambiguity and yet able to steer analytics projects toward clear business goals, testable hypotheses and action-oriented outcomes.
Ability to clearly communicate complex results to technical experts, business partners, and executives.
Working experience in Retail Banking, Consumer Finance, e-Commerce, Consulting, Credit Ratings Agency will be an advantage.
Proficiency in SQL, Python or SAS is preferred.
Familiarity with any Auto-Dialler system is a plus
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