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Fintech • Information Technology • Insurance • Financial Services • Big Data Analytics
The Asia Data and Analytics Officer leads the development of data and analytics solutions to align with MetLife's Asia business strategy, driving data-driven decision making and operational excellence across various business functions.
Top Skills:
AWSAzureBigidBigQueryCollibraData QualityDatabricksDelta LakeEicGCPInformatica AxonMdmPowercenterRdmSpark
Description and Requirements
Key Responsibilities:
Apply advanced statistical algebra, linear algebra, and optimization techniques to improve model accuracy and performance.
Conduct hypothesis testing, feature engineering, and model validation using rigorous statistical methods.
Develop and implement advanced analytics and machine learning solutions using Python, R, SQL, and leading ML frameworks such as TensorFlow, PyTorch, and Scikit-learn.
Apply statistical techniques, hypothesis testing, feature engineering, and modeling to deliver robust, data-driven insights and predictive models.
Leverage NLP technologies including spaCy, Transformers, and OCR to build intelligent text-processing and language-understanding solutions.
Drive innovation in Generative AI through the use of large language models and prompt engineering to create cutting-edge applications.
Ensure clear communication and structured problem-solving, translating complex technical concepts into compelling narratives for stakeholders.
Engage and influence business partners and stakeholders, providing actionable insights and fostering collaboration across teams.
Lead and develop talent, promoting engagement and growth within the team to build high-performing analytics and AI capabilities.
Develop predictive models for churn prediction, and lead scoring aligned with workflows.
Collaborate on Power BI dashboards to operationalize insights for business stakeholders.
Ensure adherence to GDPR and Regional Data policies for all ML workflows.
Mentor junior team members and lead technical design discussions.
About MetLife
Recognized on Fortune magazine's list of the "World's Most Admired Companies" and Fortune World's 25 Best Workplaces™, MetLife, through its subsidiaries and affiliates, is one of the world's leading financial services companies; providing insurance, annuities, employee benefits and asset management to individual and institutional customers. With operations in more than 40 markets, we hold leading positions in the United States, Latin America, Asia, Europe, and the Middle East.
Our purpose is simple - to help our colleagues, customers, communities, and the world at large create a more confident future. United by purpose and guided by our core values - Win Together, Do the Right Thing, Deliver Impact Over Activity, and Think Ahead - we're inspired to transform the next century in financial services. At MetLife, it's #AllTogetherPossible . Join us!
#BI-Hybrid
Key Responsibilities:
Apply advanced statistical algebra, linear algebra, and optimization techniques to improve model accuracy and performance.
Conduct hypothesis testing, feature engineering, and model validation using rigorous statistical methods.
Develop and implement advanced analytics and machine learning solutions using Python, R, SQL, and leading ML frameworks such as TensorFlow, PyTorch, and Scikit-learn.
Apply statistical techniques, hypothesis testing, feature engineering, and modeling to deliver robust, data-driven insights and predictive models.
Leverage NLP technologies including spaCy, Transformers, and OCR to build intelligent text-processing and language-understanding solutions.
Drive innovation in Generative AI through the use of large language models and prompt engineering to create cutting-edge applications.
Ensure clear communication and structured problem-solving, translating complex technical concepts into compelling narratives for stakeholders.
Engage and influence business partners and stakeholders, providing actionable insights and fostering collaboration across teams.
Lead and develop talent, promoting engagement and growth within the team to build high-performing analytics and AI capabilities.
Develop predictive models for churn prediction, and lead scoring aligned with workflows.
Collaborate on Power BI dashboards to operationalize insights for business stakeholders.
Ensure adherence to GDPR and Regional Data policies for all ML workflows.
Mentor junior team members and lead technical design discussions.
About MetLife
Recognized on Fortune magazine's list of the "World's Most Admired Companies" and Fortune World's 25 Best Workplaces™, MetLife, through its subsidiaries and affiliates, is one of the world's leading financial services companies; providing insurance, annuities, employee benefits and asset management to individual and institutional customers. With operations in more than 40 markets, we hold leading positions in the United States, Latin America, Asia, Europe, and the Middle East.
Our purpose is simple - to help our colleagues, customers, communities, and the world at large create a more confident future. United by purpose and guided by our core values - Win Together, Do the Right Thing, Deliver Impact Over Activity, and Think Ahead - we're inspired to transform the next century in financial services. At MetLife, it's #AllTogetherPossible . Join us!
#BI-Hybrid
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