Sobre este puesto de Assistant Manager, Data Platform Delivery en FWD Group
About FWD Group
FWD Group (1828.HK) is a pan-Asian life and health insurance business that serves approximately 40 million customers across 10 markets, including BRI Life in Indonesia. FWD’s customer-led and tech-enabled approach aims to deliver innovative propositions, easy-to-understand products and a simpler insurance experience. Established in 2013, the company operates in some of the fastest-growing insurance markets in the world with a vision of changing the way people feel about insurance. FWD Group is listed on the main board of the Hong Kong Stock Exchange under the stock code 1828.
For more information, please visit www.fwd.com
PURPOSE• It will be an individual contributor in a highly entrepreneurial work environment, Independently manage stakeholders and AI model project from end to end.
• Conduct data analytics and modelling to generate business insights.
• Use advanced analytics and artificial intelligence to improve modelling accuracy
• Create FWD own IP / Patent at AI model area.
KEY ACCOUNTAIBILITIES
· Stakeholder Management
· Project Management
· Understand business needs and design modelling methodology
· Conduct data sourcing and Integrate necessary data
· Conduct data discovery and data transformation
· Build models to find best optimal using different algorithms
· Model deployment using Azure
· Drive model execution and productivity improvement
· Model review and optimization
· Apply patent for innovative AI models
KEY PERFORMANCE INDICATORS
· Model accuracy
· Incremental APE
· Time/ Cost save
· Productivity improve %
· STP/STU improve %
EXTERNAL & INTERNAL CONTACTS
· Group and country function team
DECISION MAKING
· In accordance with PCG delegated authority
QUALIFICATIONS / EXPERIENCE
· Bachelor/Master/PhD degree on statistics, information engineering, computer science, math
· SAS certificates
· Machine Learning certificates
· Over 3 years data analytics, statistical modelling or machine learning working experience
·
KNOWLEDGE & TECHNICAL SKILLS
· Statistics Modelling Skill: linear regression, logistic regression, decision tree, neural network, random forest, k-means, ARMA, association rule, XGBoost, CATBosst, CNN
· Tool: Python/Pyspark, Azure, AWS Sagemaker, RapidMiner, Spark, pylearn2, SQL
COMPETENCIES
· In accordance with According to Band 40 Competency
