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Manager, Operations Governance (Data Analytics)

Manager, Operations Governance (Data Analytics)

Prudential plcHong Kong
18 天前
职位描述

Prudential’s purpose is to be partners for every life and protectors for every future. Our purpose encourages everything we do by creating a culture in which diversity is celebrated and inclusion assured, for our people, customers, and partners. We provide a platform for our people to do their best work and make an impact to the business, and we support our people’s career ambitions. We pledge to make Prudential a place where you can Connect, Grow, and Succeed.

To manage and support the governance tasks shared by Head of Ops Governance (“Ops L1B”). The objective is to minimize operational risks, enhance operational efficiency, and create a robust risk and governance culture.

Job Responsibilities :

1. With the use of data analytics, support the Quality Assurance (“QA”) Program by providing insight from analysis and correlation of data extracted from various systems which support the operations processes. Types of testing that the candidate can perform include the following :

  • Background information – Performing data profiling and generating statistics to provide context and information on business processes
  • Reperformance – Re-performing calculations to validate transactions (e.g. claim payments), metrics from MI packs, and analytics models
  • Exception detection - Finding cases where known restrictions or guidelines have not been adhered to (e.g. fraud and abuse cases)
  • Anomaly detection - Finding typical patterns of behavior and detecting unusual or anomalous patterns.
  • Root cause analysis - Identifying and quantifying the factors that contribute to a control failure.

2. Design and Conduct Quality Assurance (“QA”) Programs across the customer and health operation functions to ensure the regulatory requirements & company standards are met. At the same time to conduct trainings to Ops L1A teams to achieve service excellence with managed risk exposure.

3. Oversee and monitor the Key Risk Indicators (“KRIs”) assigned by Head of Ops L1B and maintain the effectiveness and efficiency of the Operation processes, including but not limited to liaising with Operations L1A and L2 Risk, L3 Audit and Regional stakeholders, reviewing the Internal Control Review exercises, identifying and mitigating the ops compliance risks arising from the new business initiatives, evolving the regulatory engagement policy and training in dealing with governmental and regulatory bodies in order to maintain effective relationships to help foster mutual trust, respect and understanding.

4. Prepare the Local and Group Reporting exercise to ensure the reporting are accurately, timely and completely documented, where good justifications / explanations can be provided on the reported items.

5. Participate and share advice on the key projects as assigned by Head of Ops L1B from risk and compliance perspectives to ensure the Compliance and Legal requirements are well interpreted, considered, and executed during the project management process, so that the projects could be rolled out seamlessly and timely with proper governance per ERM frameworks and policies.

Job Requirements :

  • University graduate, preferably in Accounting, Finance, Operational Risk, or a related discipline
  • Minimum 5-10 years of hands on technical experience mining and analyzing data using databases and analytics software
  • Microsoft Certified : Fabric Analytics Engineer Associate or Azure Fundamentals or equivalent is an added advantage
  • Experience within the financial services industry is preferred, and experience on either insurance would be ideal
  • Experience of working in an audit / risk management environment would be ideal
  • Competent with using SQL and Python (Pandas Library) for data analytics
  • Good experience with using visualization tools such as Tableau and / or Power BI
  • Advanced knowledge of Python / R for Text Analytics, NLP, Predictive Analytics, Machine Learning would be an added advantage.
  • Excellent command of English and Chinese (written and spoken) including Putonghua
  • Competent Stakeholder management and presentation skills.
  • Good attention to detail and rigorous logical thinking ability.
  • Good team player, who can win and maintain the professional respect of the team.
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