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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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.