03 / 09
1. 自動化流程工具開發 2. Power BI介面設計開發 3. 產險精算工具開發及維護 4. 產險精算準備金查核 5. 產險精算簽證報告 6. 其他產險精算相關工作
03 / 09
• Partner with Franchise, Customer Management team and also Product Team to formulate business strategies and using data insights to drive Treasures Acquisition, Engagement and Transaction • Develop and maintain Control Tower, utilize Data Driven Operation Model (DDOM) to maximize value from data and drive strategies deliver business outcomes. • Create visualizations and present clear, concise, and actionable insights to the key stakeholders, lead discussions on analytics and interpretation of results • Develop models and data insights to plan and drive the customer interactions
03 / 09
▌工作說明： 1.風險管理資料分析、報告、監控及風險數值監控。 2.風險資料庫的維護。 3.資產品質檢視分析及改善因應。 ▌具備條件： • 須擅長使用EXCEL進行資料分析與儀表板功能。 • 具其他BI工具運用專長，或資料庫規劃專案執行等經驗為佳。
03 / 09
1. IFRS 17專案 2. 精算查核 3. 風險管理
03 / 09
(1)彙整風險管理報表及報告 (2)超限檢核及異常追蹤 (3)風控系統功能規劃及測試 (4)資本適足率申報作業、金融資產減損評估作業 (5)主管交辦之風險管理專案
03 / 09
The Clinical Data Analyst is responsible for scientific programming in data validation, dataset transformation, and statistical analysis programming. Also, the Programmer supports data management or statistical activities for projects, if needed. Qualified individuals must have a bachelor‘s degree in statistics, biostatistics, mathematics, public health, or related field, or have 0-2 years of pharmaceutical experience in drug research and development. An advanced master’s degree is preferred. Knowledge of Statistical Application Software (SAS) or other programming language is required. The knowledge of Clinical Data Interchange Standards Consortium (CDISC) standards is preferred. 無工作經驗者月薪36000~42000元
03 / 09
＜About the job＞： The Data Science & AI team of headquarter IT is developing the frontier and practical analytic technologies that enhance the data value. As the data scientist, you‘ll join the AI/Big Data Analytics program/projects related to management topics, including Commercial/Industrial Engineering/Supply Chain/Financial Performance/Operation...etc., to build the model or algorithm to empower data-driven & analytics-driven for driving business value from data insights in this world-class company (Fortune Global 500, 22nd). ＜Job Description＞： •Design, implement and refine advanced Statistical Modeling/Algorithm Models •Ensure alignment of modeling initiatives with the requirement goal defined by key stakeholders and company objectives and identify new hypotheses for model improvements. •Executing big data analysis and predictive analytics projects include feature engineering, model building, algorithm development, etc. •Collaborate effectively with team members, whether leading tasks or supporting initiatives led by others. •Self-motivated, Result-oriented, and interested in applying quantitative methods to solving business and engineering problems. •Able to use the cutting-edge technologies to solve the practical problems ＜Skills＞ •Experience with any one of Machine Learning, Statistical Modeling, Deep Learning, Econometric Modeling, Optimization Algorithm(OR), Numerical Simulation..., etc., model/algorithm building of the practical application in the industry. •Familiarity with programming languages like Python or R, or Java. (Good programming skills in Python is a plus). •Advanced ability to perform Exploratory Data Analysis and working knowledge of statistics. •Ability to visualize data in the most effective way possible for a given task, especially visualize models and results and debug and troubleshoot code and models. •Experience in setting up supervised & unsupervised learning models including data cleaning, data analytics, feature creation, model selection, performance metrics & visualization
03 / 09
1.市場風險管理系統架構及管理流程之持續檢視/強化 2.各項外部規範限額控管系統平台規劃及後續建置管理: 配合相關規範要求所建置控管平台。 3.規劃新種金融商品管控流程: 針對交易限額、交易評價、交易系統及監控管理報表、資本計提等，參與前中後台新產品專案討論。 4.規劃建置市場風險資料庫:建置支持數位化、自動化、整合化市場風險的資料庫。