Job Summary: The Specialist will be responsible for driving digitization and datadriven operating model (DDOM) to the dealing room by providing technical expertise in the areas of data analysis, digital solutions, and automation. This role will work closely with cross BU/SU and cross-country colleagues to identify business opportunities for digital solutions, advanced analytics, and machine learning techniques to improve customer experience, internal efficiency, and drive revenue growth. Responsibility: ★ Collaborate with the dealing room team and other departments to identify and collect relevant data to develop new strategies and tactics based on market insights and data analysis in compliance with regulatory requirements and internal policy ★ Maintain the local T&M data pipeline within ADA to support all analytics and modelling from enterprise ADA ★ Align to regional change management framework for data to be adopted into Taiwan ★ Work with overseas data colleagues in Hong Kong and Singapore and to port over analytics tools and models fit for local Taiwan T&M use ★ Analyze data to identify trends, opportunities for revenue growth, and areas for improvement ★ Apply statistical modeling and machine learning techniques to develop predictive models and algorithms to drive business outcome ★ To work with internal/external teams on exploring or creating new business models to drive new revenue streams ★ Manage implementation of digital solutions with clients ★ Communicate findings and recommendations to stakeholders in a clear and concise manner ★ Conduct research and stay up-to-date with industry trends and best practices in data analysis, digital solutions, and automation, and provide recommendations for new tools or platforms that could benefit the dealing room ★ Work with marketing and product management teams to drive revenue growth and client acquisition through digital channels ★ Perform other related duties as assigned

• 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

Job Responsibilities: 1. The role is for Project Damselfly implementation and ongoing support for Collection delinquency and productivity management of pre write off portfolio after integration. Project Damselfly (Project Management) Participant Project Damselfly, this role is to focus on pre write off process review and embed Citi process, Citi local system installation and enhancement for collection systems (e.g. COGP PDA module), to increase digitalization on collection handling of pre write off accounts given COGP enhancement. For Citi local system (COGP PDA module), to understand end to end system flow, embed existing automation functionality, to optimize process automation and increase pre write off team’s efficiency. Review end to end collection process of pre write off handling, identify gap between Citi and DBS, and compare DBS Taiwan collection journey against best practice in other markets and Citi, to work out new collection strategy for pre write off accounts, and support migration to be implemented smoothly. To support training material preparation and training resource arrangement (post LD1 training) Recovery management (BAU) Daily monitoring on pre write off team dialer arrangement to maintain stable productivity and coverage. Daily monitoring on pre write off delinquency and kick off deep dive analysis and mitigation actions accordingly. Segment portfolio by customer’s payment possibility through reviewing the customer profile and build up different treatment flow accordingly (increase segmentation on pre write off handling), and support team Advising customers on their payment options and suggesting methods of payments. Negotiating suitable payment plans. Maintaining customer payment records. Initiate request to take legal action according to Collection SOP / Strategy and build up automatic legal action flow after COG application integration. Cooperate with legal team to execute collection legal action following collection guideline and working in partnership with collection operation team and courts. 2. The AVP of collection will be responsible for implementing the business plan regarding pre write off delinquency management in collections. He / she needs to ensure operational goals / metrics are achieved or exceeded and that all collection activities are conducted in compliance with regional guidelines and local regulations. 3. The key function for the AVP of collection is to lead collection activities to ensure collection process / handling complied regulation requirement . He/she needs to escalate on timely basis significant risk issues to stakeholder and manager for taking appropriate remedial actions

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。

1.執行信用風險模型開發工作 2.執行信用風險新巴賽爾協定相關工作 3.執行信用風險管理分析工作 4.執行信用風險模型專案資訊工程學類,數理統計學類

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。

1.運用內外部資料庫進行各類業務分析，提供數據做為決策支援 2.依專案需要進行模型建置及維護 3.主動分析資料，找出潛在潛在商機

負責信託基金、保管作業、資產管理作業及信託帳務。信託業業務人員信託業務專業測驗

1.規劃個、法金信用風險驗證模型與相關規範 2.執行個、法金信用風險模型驗證作業 3.整合風險壓力測試狀況數理統計學類,經濟學類,一般商業學類

1.疑似不法、人頭偽冒可疑交易監控門檻調校 2.疑似不法交易資料分析 3.疑似不法、人頭偽冒可疑交易態樣建立 4.疑似不法及AML/CFT辦法維護法律學門,商業及管理學門

1.日常市場風險分析與管理 2.協助前台新業務發展 3.新系統或效率提升相關專案商業及管理學門

1.衍生性金融商品、投資交易部位評價作業。 2.協助驗證市場風險各類模型，確保風險因子衡量工具之品質。財務金融學類,應用數學學類

1.規劃海外個金貸款/支付產品風管策略，含數位/一般授信辦法制定、專案與測試案管理及系統建置管理 2.管理及監控海外個金貸款/支付產品資產組合暨資產品質、風險限額與預警機制一般商業學類,數理統計學類,資訊管理學類

1 執行個金風險徵審資料庫分析與整合 2. 執行與規劃個金風險產能提升等相關專案 3. 優化徵審系統相關專案規劃與執行商業及管理學門,數學統計學門,電算機學門

1.以機器學習技術進行數據分析、洞察客戶需求、預測等端到端(E2E)數據應用的規畫及執行，包含GenAI、深度學習、機器學習、ChatBot、數據標籤應用等。 2.評估新科技及新技術導入，提出創新金融業務應用模式。 3.營運資料及專案成效分析，以策略顧問模式進行內外部報告。資訊工程學類,資訊管理學類,數理統計學類

1. 執行新業務/支付產品偽冒風險評估與策略規劃 2. 協助偽冒風險資料分析與報告產出 3. 跨部門溝通協調商業及管理學門,數學統計學門,電算機學門

1.控管海外單位市場風險及擔任日常聯繫窗口 2.導入海外單位之市場風險管理機制及相關系統建置商業及管理學門

1.個金信用風險模型監控與維護 2.個金信用風險模型研發與建置各類模型驗證標準數理統計學類,商業及管理學門

1. 海外子行個金風險管理工作規劃 2. 海外分支機構評分卡開發、監控與管理 3. 海外分支機構風險評級執行一般商業學類,數理統計學類,資訊管理學類

1.負責利用機器學習、深度學習研發模型並應用於金融場景，如：推薦引擎、異常金流偵測、模型自動化迭代(Auto Retrain) 2.負責模型研發數據前處理、特徵工程 3.負責模型上線後模型效度與應用成效追蹤，並持續上線後模型的優化迭代 4.需訪談模型需求單位，以適切規劃機器思考模型架構數學統計學門,電算機學門,資訊工程學類