Data Analytics Manager (Insurance OR Financial Institution Preferred)
Our client is a Top Global Financial Institution. It is a massive company and offers excellent platform for career path, compensation packages and benefits. Our mission is to shape, build and maintain the shared solution. The aim of these services is to sustain business development, reduce time to market, & generate savings.
Our client is seeking a Manager to join the Global Data Management team, in order to make us a leader in data management. The successful applicant will be responsible for initiating, planning and executing data analytics projects to add values to Corporation. The Global Data Management Team offers state-of-the-art data analytics techniques including propensity modelling, clustering, text-mining, optimization and digital analytics. We collaborate with different internal and external stakeholders to ensure project success.
This position is based in Hong Kong. Business travel is required. This position reports to Regional Director of Global Data Management team.
Perform data mining and analytics to support ongoing continuous risk monitoring and risk assessments of operational or financial data to recognize patterns and trends.
Design, prepare and review reports on business performance analysis. Provide MIS support on promotional/marketing activities and portfolio management
Manage, maintain and modify the corporate data warehouse to ensure its accuracy and effectiveness
Responsible for the data governance processes, the assessment and remediation of data quality related issues and participating in the development of local and corporate standards, procedures, and process improvements.
Provide mentoring to team members and assist in building and maintaining the administration systems, procedures, and documentation to successfully administer business.
Ensure all data management processes and standards are in accordance with divisional and corporate standard and make sure the functionality of the administration systems will address the business needs.
Ensure that the data is accurate for input to accounting records, valuation systems, regulatory returns and other required information for both business and financial reporting purposes.
Facilitate and provide financial analytics on pricing and product profitability.
Perform ad hoc analysis on large/diverse datasets by using various tools and techniques.
University Degree or Master holder in mathematics, Statistics, information technology, , Information System, Computing Science or related disciplines
Good knowledge of Business Intelligence and Data Analytics technologies are also expected.
3-5 years of related work experience in life insurance/reinsurance or Banking Financial Institution are huge advantage
Knowledge in data mining, data extraction, data manipulation, and data processing languages (e.g. SQL, VBA, SAS, Python, R) preferred
Strong data mining, database management and programming skills
Client focused and a self-starter, driven in pursuit of targets.
Autonomy, accuracy, attention to details and excellent organizational skills.
Analytical mind with good report writing skills
A positive attitude to dealing with people, shares openly and willingly, demonstrates cooperation and flexibility
Ability to create process and workflow models and facilitate business discussions
Understand how key risks and controls impact the business from an operational, accounting, and/or systems perspective.
Excellent communicator with the ability to translate complex analysis into a well-structured, action oriented presentations, recommendations and insights to senior management.
Fluency in English, Chinese communication and good presentation skill
Education and Other Requirements:
Bachelor Degree in Statistics, Physics, Mathematics, Applied Mathematics, Computer Science, or other quantitative fields. A Master Degree or PhD would be advantageous.
Knowledge in fields of Insurance, Consumer Finance, Financial Services, Database Marketing and/or Data-mining is highly valued
This is an excellent opportunity to work within a rapidly expanding business across the globe. There is an attractive package available and opportunities for further career development.
To apply, or for an initial conversation in confidence, please submit your resume in Word or PDF format