轉職熱搜工作

1.因應資料科學的發展，建置大數據中心 2.發展癌症及慢性病資料科學之加值服務 3.撰寫及執行大數據研究相關計畫 4.執行各項研究相關行政業務 　4.1 執行大數據諮詢業務，提供諮詢者平台操作指導、研究建議，檢視研究主題可行性 4.2 負責大數據中心資料之處理與統計分析業務 4.3 執行大數據教學課程和手把手教學活動 4.4 執行擴展大數據平台，建立特定主題疾病資料庫 4.5資料統計結果視覺化呈現 5. 其他上級交辦事項之配合與執行

1. 經營管理績效及資產管理統計分析 2. 作業規範制訂、產品流程及資訊系統規劃 3. 經營管理會議資料分析及提報 4. 專案規劃、分析、提報及執行 5. 工作範圍包括法務催收管理、客服作業管理等 1. Statistical analysis of business management performance and asset management 2. Formulation of operation specifications, product process and information system planning 3. Analysis and submission of business management data 4. Project planning, analysis, presentation and implementation 5. The scope of work includes legal collection management, customer service operation management, etc

(1)碩士以上學歷。 (2)銀行風險管理實務經驗至少10年以上。 (3)具文案撰寫能力，且中英文流利。 (4)具FRM證照，統計、財金、數學、風險管理等相關系所畢業尤佳。 (5)熟稔BASEL國際監理趨勢與發展。 (6)具信用相關模型或金融商品評價模型之開發與驗證經驗。 (7)具風險管理專案之規劃與執行經驗。 (所有條件均須符合)

1. 負責執行本行從事各項金融商品交易操作所產生市場風險及交易對手信用風險之衡量、監控及報告，以確保各項金融商品交易於全行可承受之合理風險胃納下運作。 2.各項金融商品交易市場風險暴險部位及停損之每日監控/警示。 3.各項金融商品交易對手信用風險暴險部位每日監控及額度管理。 4.擔保品及保證金控管。 5.定期呈報市場風險監控報告。 1. Measure, monitor, and report market risk and counterparty credit risk arising from the Banks trading activities across various financial products, ensuring exposures remain within the Banks approved risk appetite and risk management framework. 2. Perform daily monitoring and alert management of market risk exposures and stop-loss limits for financial trading portfolios. 3. Conduct daily monitoring of counterparty credit risk exposures and manage counterparty limits for financial transactions. 4. Monitor and control collateral and margin requirements to ensure compliance with internal policies and regulatory requirements. 5. Prepare and submit periodic market risk monitoring and management reports to support risk oversight and decision-making.

1.帳款逾期用戶之使用行為分析與歸納 2.尋找影響用戶不繳費之關鍵因素 3.運用 AI工具設計產出解決方案、更新既有作業流程，並製作簡報提案，提供策略建議 4.參與協助技術團隊共同完成建立生成式AI、大型語言模型（LLM）、AI Agent等技術之工作應用 【薪資待遇】月薪依能力與經歷核敘；若績效達平均水準者，年薪約77~95萬，績效優者年薪將更高。

1.帳款逾期用戶之使用行為分析與歸納 2.尋找影響用戶不繳費之關鍵因素 3.運用 AI工具設計產出解決方案、更新既有作業流程，並製作簡報提案，提供策略建議 4.參與協助技術團隊合作完成建立生成式AI、大型語言模型（LLM）、AI Agent等技術之工作應用 【薪資待遇】月薪依能力與經歷核敘；若績效達平均水準者，年薪約81~108萬，績效優者年薪將更高。

＜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

1. 報價相關談判與議價 2. 報價策略精算與分析 3. 智能手機全球市場銷售狀況、實際成本、策略經營之大數據分析 4. 專案任務管理與執行進度跟進 5. 新產品及新產業調查與發展預測分析