Hong Leong Assurance BerhadPetaling Jaya, Selangor, Malaysia
12 hours ago
Job description
HR Business Partner at Hong Leong Assurance
Job Description
Responsible in develop and implement data science capabilities and models that support business objectives, including segmentation, profiling, identify quality leads, next best offer, etc.
Apply predictive modeling, machine learning, and statistical techniques to solve complex business problems, enhance operational processes, and identify cross-sell and upsell opportunities.
Lead data science initiatives from ideation to deployment, including business case identification, requirements gathering, assessment, solution design, development, testing, implementation, performance tracking, and automation.
Work closely with business stakeholders, IT and other functional teams in a dynamic environment to ensure alignment and successful delivery of solutions.
Write SQL scripts to integrate and transform data from multiple sources, to perform data-mining and extraction for ad-hoc analytics requests such as business performance insights and regulatory reporting.
Develop comprehensive, timely and accurate analysis, and presentations by using analytical and visualization software to communicate insights and recommendation to stakeholders.
Analyze complex datasets using statistical tools and techniques to identify trends, correlations and patterns that inform business decisions.
Practice discipline in progress tracking, attentive communication & collaboration, documentation and building sustainable & scalable solutions.
Stay current with industry trends, emerging technologies, and best practices in data science and analytics.
Job Requirement
Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, Actuarial Science, or a related field.
Solid understanding of machine learning algorithms, statistical modeling and data engineering principles.
Experience in propensity modelling and strong knowledge in using advanced analytics tool and languages to analyze large datasets from multiple data sources.
Knowledge of life insurance practices preferred.
At least 5 years of data science experience in the financial or insurance industry is preferred. Candidate with supervisory experience is preferred.
Strong proficiency in SAS, SQL and Python / R.
Familiar with data visualization tool e.g. Tableau
Advantageous to have experience in RDBMS and data mining tools such as MS SQL Server Mgmt Studio, Google Cloud Platform, etc.
University degree or equivalent.
At least 5 years of relevant working experience.
Possess strong leadership qualities, Excellent interpersonal skills, Able to collaborate with other teams to drive positive outcomes and ability to manage multiple priorities and manage senior stakeholders.
Seniority level
Mid-Senior level
Employment type
Full-time
Job function
Analyst
Industries
Financial Services, Insurance, and Banking
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Manager Data • Petaling Jaya, Selangor, Malaysia
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