Senior Associate, Reporting, Planning and Budgeting

It’s about finding new ways to not only better people's lives, but to better the communities and environments we live in. Encompassing our ambition of helping a billion people live Healthier, Longer, Better Lives by 2030.

And to get there, we need ambitious people who believe in playing an important part in shaping that future. People seeking unmatched career and personal growth opportunities, who are driven to work with, and learn from some of the most inspiring and supportive leaders in the business.

• →Identify actionable insights from analytics solutions, and communicate this to relevant stakeholders to improve decision making and drive business performance
• →Execute relevant data analytics project with business units using AI / machine learning, such as developing propensity model, identifying best seller matching, predicting seller retention 
• →Recommend and execute campaign & lead management to optimize marketing ROI, improve conversion rates, portfolio profitability based on cross-sell, upsell & persistency analysis
• →Use AI / ML to identify and profile high-potential candidates (recruitment) and provide tailored training curriculum to improve productivity
• →Drive analytics innovation by keeping abreast of industry’s trends, evaluating and adapting new and improved data science approaches for the business
• →Work with Group Distribution counterparts as subject matter expertise to give advice on AI / data analytics

• Bachelor or Master degree in Data Science, Computer Science, Statistics, Applied Mathematics or related quantitative fields
• 3-5 years’ experience in implementing and validating big data algorithms and models, preferably in life insurance industry
• Experience working with Amazon AWS and/or Microsoft Azure
• Fluency in analytical tools such as Python, R, SAS; Familiar with classic machine learning models, feature engineering, hyperparameter tuning, building proper cross validation frameworks to build robust models
• Exposure to all stages of data analytics project lifecycle (scope definition, data processing, model development, deployment, tracking, solution implementation)
• Collaborative and good team player
• Good communication skills in English

Build a career with us as we help our customers and the community live Healthier, Longer, Better Lives.

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