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 Senior Manager, Data and Analytics Risk

Principal responsibilities:

• Lead a team of data & analytics professionals to develop and deploy data-driven analytics solutions including (but not limited to) ad-hoc analysis, self-serve visualization, automated data solutions, machine learning and AI to address Financial Crime Risk (FCR), Sales Conduct Risk and Internal Fraud Risk and Controls.
• Design and deploy guideline, framework, and process to ensure the above solutions can be integrated into fraud management and fraud operation processes with closed-loop monitoring and ongoing improvement.
• Identify emerging FCR risk and new MO, actively and proactively respond with end-to-end data analytics initiatives, recommend and implement changes in controls and processes to minimize financial crime risk and customer losses.
• Continuously raising the detection control standards across the end-to-end customer journeys and strengthen risk mitigation controls.
• Develop agile working model to respond to ever-changing fraud risks and challenges nimbly and effectively.
• Collaborate & influence a wide range of partners / stakeholders from technology, business owners, compliance as well as senior management.
• Drive talent development, cultivate innovative environment and uplift analytics capability through effective application of modern big data, machine learning methodology and visualization tooling. 
• Adhere to HSBC policy, procedures and control requirements.

• University degree in Statistics, Data Science, Mathematics, Computer Science, Information System or other related discipline
• Minimum 10 years' banking experience in data analytics
• Excellent team management, strong organizational, problem-solving skills 
• Effective verbal and written communication, experience in managing broad stakeholders and cross-functional project / teams, and strong influential & presentation skills
• Experience in agile working & project delivery, comfortable with working in fast-changing and complex environment 
• Ability to take smart risk, define structure and clear approach / solution under ambiguous circumstance
• Self-motivated professional, strong analytics mindset, track record of analytics solutioning, innovation and transformation for impactful business results 
• Proven track record of people management
• Domain knowledge in anti-fraud, financial crime risk management area a plus
• Experience in Python, SQL/BigQuery, Tableau/QlikSense/Looker studio a plus
• Hands-on experience on cloud environments such as AWS, Google Cloud Platform (GCP), Feedzai a plus
• Experience in Graph Database, Network Analytics Tools and Transaction Monitoring and Screening system is a plus

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