Assistant Manager, Data and Analytics (Risk)

Information Technology • Full Time • Mong Kok, Hong Kong, HK • 2d ago

Data Analytics and CRM

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 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
Continuously identify areas for improvement and drive initiatives to enhance team productivity and quality of work.
Provide expertise in identifying fraud typologies, enabling the development of targeted strategies to address specific fraud patterns and behaviours.
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 3 years' working experience in analytics, modelling and machine learning
Strong analytical skills with business analysis aptitude. Knowledge and understanding of financial-services/ banking-operations is advantageous.
Familiar with Cloud Computing Platforms such as AWS, GCP.
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, 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

Visit Hang Seng Career Page and sign up with our Talent Community to receive the latest information about our career opportunities in Hang Seng Hong Kong.

Visit Hang Seng Career Page and sign up with our Talent Community to receive the latest information about our career opportunities in Hang Seng Hong Kong.

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.

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