PURPOSE OF THE ROLE
To analyse large amounts of raw and semi-processed information to find patterns that will help improve our company. The ideal candidate is adept at using large data sets to find opportunities for process optimization and using models to test the effectiveness of different courses of action.
Develop CS Metrics dashboard for both BAU and Transformation.
Proven ability to drive business results with data-based insights.
Be an advocate for CS Analytics, aligning operations teams’ understanding of the transformation journey and help to remove barriers.
Primary focus is to use the information to develop data-driven solutions to address difficult business and operations challenges.
Risk Management / Governance
Ensure compliance with all relevant Company governance and industry regulations.
Ensure compliance with Company governance and keeping CS transformation initiatives within scope, timeline and budget.
Customers and policyholders
Monetary Authority of Singapore
Central Provident Fund Board
Ministry of Health
Life Insurance Association
Business partners including vendors and third party administrators
Senior Leadership Team
Aviva Digital Garage
5-7 years of experience developing data sets and building statistical models, has a degree in Statistics, Mathematics, Computer Science, Engineering or another quantitative field, and is familiar with the following software/tools:
Knowledge of R, SQL and Python; familiarity with Scala, Java or C++ is an asset.
Experience using business intelligence tools (e.g. Qliksense and Qlikview/Tableau) and data frameworks (e.g. Hadoop).
Proven experience as a Data Analyst or Data Scientist.
Proficiency in applying various data mining techniques, perform statistical analysis, and build high quality prediction systems integrated with our processes.
Strong analytical mind and business acumen, preferably financial institution background.
Past experience in insurance industry will be strong competitive advantage.
Experience in working with and creating data architectures.
Understanding of machine-learning and operations research will be an advantage.
Strong math and numerical skills (e.g. statistics, algebra, Excel, VBA).
High problem-solving aptitude.
Excellent communication and presentation skills.
Excellent written and verbal communication skills for coordinating across teams.
Drive to learn and master new technologies and techniques.