Focus on supporting analytics in credit card, unsecured personal loan and deposit products
Carry out marketing campaign execution which involves list extraction, campaign result tracking and post-campaign analysis and provide recommendations for subsequent campaigns.
Perform statistical analysis to identify business opportunities, and present key findings to senior management and / or other stakeholders with actionable recommendations.
Design, develop and automate regular business reports to monitor business performance
Manage the implementation of the Business Intelligence and Data Warehouse project / enhancement
University Degree or above in Statistics, Data Science, Computer Science, Information Management or related discipline
1 2 years of experience in quantitative analysis, and consumer finance / insurance / banking related business. Fresh graduate with strong SAS programming skills will also be considered.
Strong analytical with basic understanding of different statistical methodologies and knowledge of scorecard development
Detail-oriented, strong business sense, influencing skill, communication and interpersonal skills
Able to work independently and under pressure
Solid experience in SAS, Python, SQL, OLAP, Microsoft Excel VBA, PowerPoint
Proficiency in spoken & written English & Chinese
Applicants who are not contacted within 8 weeks may consider their applications unsuccessful and their personal data will be retained by the bank for a period up to two years.
All information provided by applicants will be used for recruitment purposes only and will be used strictly in accordance with the bank’s personal data policies, a copy of which will be provided upon request.