A Career with Hang Seng Bank
Hang Seng is committed to service excellence. Our people are our most important asset and play a vital role in our efforts to continually enhance our performance for customers and provide best-in-class products and services. We seek to attract high-calibre talent by offering a dynamic working environment, good career development opportunities and competitive compensation packages.
Assistant Data Analytics Manager (Risk)
We are currently seeking high caliber professionals to join our department as Assistant Data Analytics Manager (Risk)
Principal Responsibilities
- Mine and analyze large structured and unstructured datasets and apply advanced statistical methodology to explore strategic solutions and actionable recommendations to solve business problems
- Translate business problems into data science initiatives with appropriate methodology, manage the business application effectively and evaluate the results rigorously
- Conduct analysis and insight generation to support Card Fraud / Payment Fraud / Financial Crime risk mitigation and Anti-money laundering
- Collaborate with Group and offshore centre for different analytic solutions implementation and cross-reference sharing
- Contribute to team development, effectiveness and success by sharing knowledge and good practice, working collaboratively with others to create a productive, diverse and supportive working environment
- Adhere to HSBC policy, procedures and control requirements applicable to day-to-day working, exceptional and project activities
Requirements
- University degree in Mathematics, Data and Information Management, Statistics, Computer Science or other related discipline
- Minimum 4 years' working experience in analytics, modelling and machine learning
- Solid experience of customer analytic in banking industry, experience in the application of business insight into Fraud Risk Mitigation and Anti Money Laundering would be an advantage
- Proficient in SAS EFM, Feedzai, SQL and Microsoft R/Python. Knowledge in Visualization tools (e.g. QlikSense, Data Studio, Tableau), GCP, Big Query, digital data is an advantage.
- Good in mining massive volume of data for quick insight discovery
- Good communication, interpersonal, problem solving, and presentation skills
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All information provided by applicants will be used only for recruitment purposes and will be used strictly in accordance with the Bank's personal data policies, a copy of which may be obtained by the applicant upon request. Unless otherwise instructed in writing by the applicant concerned, applicants may be considered for other suitable positions within the Bank and its related companies. The personal data of unsuccessful job applicants may be retained for a maximum of two years from the date when the job application is rejected and such data may be retained for a longer period if there is a subsisting reason that obliges the Bank to do so, after which the personal data will be destroyed.