Shopee | Senior Data Analyst
2 weeks ago
Experienced (Individual Contributor)
Department
Business Intelligence and Data Analytics
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:
Conduct data analysis through daily risk exposure & profit and loss and present findings and recommendations to senior management.
Critically evaluate and define risk metrics; develop analysis that lead to actionable insights to support the continuous improvement of the business.
Monitor key performance indicators, and optimize business policy and process.
Responsible for evaluating the credit worthiness of new credit applicants and monitoring the ongoing financial performance of existing credit customers.
Design and drive implementation for consumer or small and medium-sized enterprises loan’s strategy and policy, including but not limited to application workflow design, prescreening, credit policy, credit limit, risk based pricing based on data-driven approach.
Requirements:
Bachelor’s degree and above in Computer Science/Engineering, Business Analytics, Information Technology, Finance/ Banking, Statistics and other related fields.
Ideally 3 - 7 years of data analysis working experience.
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.
Strong attention to details and ability to notice discrepancies in data.
Ability to clearly communicate complex results to technical experts, business partners, and executives.
Working experience in Retail/Institutional Banking, Consumer/SME Finance, Supply Chain Finance, e-Commerce, Consulting or Credit Ratings Agency will be an advantage.
Proficiency in SQL and Python is a must.
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