# Manager, Advanced Analytics **Company**: Prudential **Experience**: senior **Job type**: full-time **Category**: IT **Industry**: Finance **Apply**: https://prudential.wd3.myworkdayjobs.com/en-US/prudential/job/Hong-Kong/Manager--Advanced-Analytics_26090313?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply **Canonical**: https://yubhub.co/jobs/job_0e216630-f97 ## Description Prudential's Data Analytics team is seeking a highly technical and hands-on Manager, Advanced Analytics to drive the development and deployment of machine learning and AI solutions across the business. The successful candidate will lead the technical delivery of predictive models, AI applications, and modern data science capabilities while helping establish best practices in machine learning engineering and MLOps. **Advanced Analytics & Data Science** - Design, develop, validate, and deploy predictive and machine learning models to support customer acquisition, retention, repurchase, cross-sell, distribution productivity, and marketing effectiveness. - Develop advanced analytical solutions including propensity models, churn prediction, customer lifetime value models, recommendation engines, forecasting models, and optimization algorithms. - Apply modern machine learning techniques to identify business opportunities and improve decision making across customer, agency, marketing, and operational domains. - Translate business challenges into scalable analytical and AI-driven solutions. **AI & Machine Learning Innovation** - Explore and implement emerging AI technologies, including Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and AI agents where appropriate. - Evaluate and prototype new AI use cases that enhance customer experience, operational efficiency, and business productivity. - Drive innovation by identifying opportunities to leverage AI and advanced analytics across the organization. **Model Engineering & MLOps** - Establish and manage end-to-end machine learning lifecycle processes, including model development, testing, deployment, monitoring, and retraining. - Optimize model performance through feature engineering, hyperparameter tuning, model selection, and experimentation. - Develop scalable and production-ready machine learning solutions in collaboration with technology and data engineering teams. - Implement MLOps best practices to ensure model reliability, governance, scalability, and operational efficiency. **Job Requirements** - Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, Actuarial Science, or a related quantitative discipline. - Master's degree or above is preferred. - Minimum 8-10 years of experience in data science, machine learning, advanced analytics, or related quantitative fields. - Proven experience in developing and deploying machine learning solutions that deliver measurable business impact. - Experience within insurance, financial services, telecommunications, e-commerce, or other data-intensive industries is preferred. **Technical Expertise** - Strong expertise in machine learning, predictive modeling, statistical analysis, and optimization techniques. - Hands-on experience with Python and machine learning libraries such as Scikit-learn, XGBoost, LightGBM, TensorFlow, PyTorch, or equivalent. - Experience in feature engineering, model evaluation, hyperparameter optimization, and model explainability. - Strong understanding of MLOps, including model deployment, monitoring, version control, CI/CD, and production model management. - Experience working with cloud-based analytics and AI platforms such as Azure, AWS, or GCP. - Familiarity with Generative AI, LLMs, vector databases, RAG architectures, agentic workflows, and modern AI technologies is highly desirable. - Strong SQL and data manipulation capabilities with experience handling large-scale structured and unstructured datasets. ## Skills ### Required - Machine Learning - Python - Data Science - Statistics - Mathematics - Computer Science - MLOps - Cloud Computing ### Nice to have - Generative AI - Large Language Models - Retrieval-Augmented Generation - AI agents - Azure - AWS - GCP --- Source: [Apply at prudential.wd3.myworkdayjobs.com](https://prudential.wd3.myworkdayjobs.com/en-US/prudential/job/Hong-Kong/Manager--Advanced-Analytics_26090313?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)