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Responsible for delivering standard reports on periodic basis as required by the business for operations, regulatory, statutory purpose

Roles and Responsibilities:

• Develop agent analytics data foundation (Agent Single View) and deliver agent behavioral analytics deliverables to business units within Agency
• Understand agent behavior & monitor movements of key agent’s segments thru big data, providing business insights and recommendation that are relevant in relation to agent strategy and behaviors
• Enable the dialogue about the value and meaning of the analytic insights, and making it easy for business stakeholders and senior management to apply data-driving decisions across the business
• Explore the availability, access and transformation/ use of structured (sales performance) and unstructured data (agent apps browsing data) for agent analytics purpose
• Hands-on develop advanced analytics/ Machine Learning-based solutions to uplift effectiveness of analytics and modelling riding on (i) supervised/ unsupervised Machine Learning techniques (ii) unstructured data e.g. digital footprint
• Develop close-loop learning path and ensure insights and learnings are carried out for continuous agent business growth
• As the Subject Matter Expert, trainer and advocate to uplift the data analytics skillset and culture of existing analysts pool
• Provide influence and advocate on Data Analytics Technology and Adoptions. Work with senior management in setting the agent data strategy and vision. Bring the data analytics capabilities to enable the future business and technology vision across AI, digital, advanced analytics, etc.
• Act as a key influencer for the Agent Data Analytics CoE in bringing vision on how to adopt Data Analytics across agency business unit
• Work with the business leaders in collaboration around value-driven data analytics and focus effort on what is best to deliver to agency business
• Drive to develop and implement of agent analytics solution within agency business unit
• Contribute ideas on enriching the agent data

Job requirements:

• Bachelor’s / Master's degree in Statistics, Computer Science, Data and Information Management or a related discipline
• A data analyst with minimum 8 years of hands-on experience in developing and executing large scale analytics deliverables/ projects in the Financial Services Industry
• Deep experience in applying artificial intelligence and machine learning techniques/algorithms, infused with industry knowledge, to enhance business strategies
• Strong in transforming analytical concepts and developments into business strategies and applications for the uplift of business value
• Ability to build strong stakeholders’ relationships through thorough understanding of business requirements and the ability to analyse issues to find effective solutions
• Solid experience in training analysts on machine learning techniques
• Effective presentation, communication and interpersonal skills
• Great sense of ownership and servicing mindset to ensure efficient and effective customer service processes
• Proficiency in English and Chinese (both Cantonese and Mandarin)
• Candidate with less experience will be considered for junior position
• You are required to obtain the relevant license(s) if your job involves regulated activities

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