Job description
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.
Data Analytics and CRM
We are currently seeking a high caliber professional to join our department as Manager, Data Analytics (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.
- Keen to take initiatives to translate business problems into analytics-led solutions with appropriate methodology, manage the business application effectively and evaluate the results rigorously.
- Highly sensitive to state of business and anticipative of business problems and priorities.
- Explore the data and conduct quantitative analysis to ascertain root cause of business' issues, identifies opportunities and effective targeting for business growth potential.
- Ensure timely and quality analytics deliverables to satisfy business needs effectively under the dynamic business environment.
- Sharing knowledge and good practice, working collaboratively with different parties to create a productive, diverse and supportive working environment.
- Collaborate with Group and offshore centre for different analytic solutions implementation and cross-reference sharing.
- Conduct analysis and deploy detection control to support Risk Controls covering Fraud / Financial Crime risk / Anti-money laundering / Sales Conduct Risk / Internal Fraud risk mitigation.
Requirements
- University degree in Statistics, Data Science, Mathematics, Computer Science, Information System or other related discipline
- Minimum 6 years' working experience in analytics, modelling and machine learning in banking industry
- Extensive experience and skill in mining massive volume of data for quick insight discovery
- In depth knowledge and experience with machine learning techniques and algorithms
- Ability to communicate with impact, with the capacity to ensure complex information is articulated in a meaningful way to a wide and varied audience
- Effective communication, interpersonal, organizational, problem solving, presentation skill and strong business acumen
- Great sense of ownership and servicing mind-set to ensure efficient and effective customer service delivery
- Experience in Python, SQL/BigQuery, Tableau/QlikSense/Looker studio on environments such as AWS, Google Cloud Platform (GCP), Feedzai a plus
- Experience in Financial Crime Risk Detection, Network Analytics Tools, Transaction Monitoring and Screening system is a plus
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