Cake 找工作

【職務說明 What will you do】1. 生成式AI、機器學習、深度學習或統計分析模型專案開發。2. 配合數據技術發展目標，研究與實作可落地應用之新型態數據模型技術，包含大語言模型(LLM)、機器學習(ML)、深度學習(DL)等。3. 推動業務場景AI賦能，建立GenAI技術輔助各類型銀行需求使用，包含RAG架構流程、向量知識庫取用、Prompt Eng.設計等。4. 協助數據轉型，規劃從需求痛點到落地應用之end-to-end的數據解決方案。5. 當負責之數據服務被設定為"不能中斷"之服務等級，則需配合維運團隊於非上班時段on call以便即時處理問題，確保服務穩定。

建構與優化機器學習模型: 運用多維度運動數據（如賽事數據、球員表現），開發球員薪資計算、表現預測等核心模型，並持續進行優化。 支援產品與行銷決策: 深入分析用戶行為與市場趨勢，提供數據洞察，協助產品團隊優化功能、支援行銷團隊制定精準策略。 整合生成式 AI 應用: 導入並開發生成式 AI 功能，例如自動化產出運動新聞與球員動態，豐富產品內容。 提升內部數據工作流程效率: 運用 AI 技術優化資料處理、分析與建模的流程，提升團隊整體開發效率。

**Job Title:** Options Pricing Quant Modeler (Part-Time Consultant) **Location:** Remote / Flexible **Position Overview:** We are seeking an experienced Options Pricing Quant Modeler to join our team as a part-time consultant. In this role, you will be responsible for developing, validating, and enhancing pricing models for structured products and exotic options. This is an excellent opportunity for a seasoned professional with a background in a small trading company or bank who thrives in a dynamic environment and enjoys the flexibility of consulting work. **Key Responsibilities:** - Develop and enhance pricing models for structured products and exotic options. - Perform model validation, calibration, and testing to ensure robustness and accuracy. - Analyze market data and use quantitative techniques to optimize pricing strategies. - Collaborate with traders and other stakeholders to understand market trends and product features. - Provide expertise on the valuation and risk management of complex derivatives. - Document model methodologies and results, ensuring compliance with regulatory requirements.

Job Title: Quantitative Researcher Company: Block River Technologies Location: Remote/Hybrid Company Overview Block River Technologies is a quantitative research and technology firm. Block River Technologies develops advanced mathematical models and innovative technology solutions to analyze global financial markets. Its founders have extensive experience in the financial industry and advanced degrees in science, technology, engineering, and mathematics from the world’s leading universities. We are currently seeking talented, articulate, highly-motivated candidates who will contribute to the design, development, and maintenance of automated trading systems, quantitative research tools, high-performance data management systems, portfolio management tools, and technical architecture/infrastructure. The responsibilities of new hires will span a wide variety of programming, data analysis, statistical and other quantitative projects. These projects often range in duration and programming environment. This position will have a high degree of autonomy as well as responsibility in the design, direction, and approach in these tasks. We believe in a casual and collaborative atmosphere in which the candidate can become an integral part of a smaller team. This position allows for a high degree of freedom as well as the ability to be actively involved in the solutions to a variety of challenging problems. While the work is rigorous and demands a high level of commitment, the firm maintains an open, cooperative and collegial atmosphere. Job Responsibilities • Develop quantitative trading strategies using statistical models to capture market inefficiencies • Assist senior strategists in research and management of quantitative strategies • Build algorithms, models, and tools to: o Facilitate quantitative research and production trading o Analyze/manage large data sets to improve profitability o Evaluate and optimize trading strategies and signals o Implement quantitative methodologies for portfolio optimization and risk management o Test hypotheses about markets and simulate trading strategies • Research and backtest trading strategies in areas such as: o Basis trading o CTA / trend-following o Volatility trading (e.g., covered calls, gamma scalping) • Evaluate new methodologies and technologies to improve research and production trading environments, system performance, and functionalities • Generate reports to explain quantitative research results to management and evaluate strategy risk/performance • Maintain technical documentation of procedures, models, and programming work • Operate, troubleshoot, and debug software in a fast-paced environment

Salary: Negotiation Location: Ho Chi Minh Office (Văn phòng Hồ Chí Minh) Team: Data Analytics (Phân tích dữ liệu) Application deadline: 05/12 — 31/12/2025 Job Scope The perfect candidate should have a combination of technical expertise, analytical thinking, and business acumen. You will have a crucial role in converting data into valuable insights that drive business decisions. This involves using various skills and tools to clean, analyze, and visualize data, as well as creating machine learning models and data products to support different business functions. Data Analysis: Perform detailed data analysis and interpretation to identify trends, patterns, and insights.Utilize statistical tools and techniques to extract actionable insights from large and complex datasets.Conduct ad-hoc analysis to address specific business questions and challenges. Machine Learning and Predictive Analysis Develop machine learning models to support various business functions, enhancing predictive/ prescriptive capabilities and operational efficiency. Reporting and Visualization: Develop and maintain regular PBI reports and dashboards to track key business metrics and facilitate informed decision-making.Present findings and insights to stakeholders through clear and compelling visualizations.Train support business users on building dashboards/ visualizations on their own. Collaboration: Work closely with various departments to understand their data needs, pain points and provide analytical support.Collaborate with Digital Technology and Data Engineering teams to improve data infrastructure and accessibility.Participate in cross-functional projects to drive data-driven decision-making. Strategic Insights: Provide recommendations based on data analysis to support strategic planning and decision-making.Identify opportunities for process improvements and operational efficiencies.Monitor industry trends and competitive landscape to inform business strategies. Documentation: Document all methodologies and results to ensure clarity and reproducibility of analyses. Benefit package: Attractive salary package depending on seniorityHybrid Work Policy16 days annual leave + 6 paid sick leavePVI Healthcare extraLearning Training opportunityCaring policies, supportive and employee-centric work environmentEngagement Activities

「台達研究院」(Delta Research Center, DRC)成立於2013年，為台達集團總部研發單位，除致力於大數據分析及物聯網應用與解決方案的開發與整合，加速企業轉型成功，也積極與產官學研生態體系協作，以開放創新模式，創造多贏生態圈。2022年台達研究院進入下一階段，專注於研發台達下下世代(next-next-generation)產品或解決方案之前瞻技術。 在「台達研究院」之下，團隊專注在模擬最佳化、機器人演算法、數位孿生建模與應用，發展具商業價值的AI應用與解決方案。 本職缺主要工作內容: 1. 以機器學習、深度學習、統計與作業研究等技術，分析內外部客戶資料，提供合適的解決方案 2. 研究與開發人工智慧之演算法、應用和服務 3. 設計、協助及管理資料分析及最佳化專案、培訓等業務推動 4. 參與Smart Design, Smart Manufacturing/智慧製造, 節能最佳化等產業轉型專案。 你/妳將會應用資料分析技術於以下3個類別的問題 1. Smart Design * PCB layout optimization * Carrier Design * Simulation Automation * Design Parameter Optimization 2. Smart Manufacturing * Image Processing * Visual Positioning * LLM-based Application * Digital Twin Simulation * Path planning * Machine Parameter Optimization * Factory Layout/Logistic Optimization 3. Energy Saving * Time Series Analysis * Cooling Strategy Optimization

・負責收集、清理、管理平台內外部數據，確保資料完整與正確，打造可供分析使用的數據集・監控數據質量與資料庫模型，持續優化數據處理流程・分析用戶行為（活躍、留存、付費）、市場活動成效及用戶來源渠道・應用統計、ML/DL 和生成式 AI 技術來建立使用者分類、詐欺偵測、情緒分析和其他目標的功能・以數據支持產品優化，協助設計及分析A/B測試・與其他產品開發團隊合作，了解他們的業務需求，如潛在用戶名單、用戶風險分析，制定並完成端到端分析，包括資料收集、分析、持續擴展交付和演示・使用Tableau/Power BI設計並維護BI報表，推動數據自助化・結合業界Knowhow與指標洞察，提出實際可行的解決方案

1.風險數據分析 ・蒐集並分析遊戲相關交易數據，偵測異常與高風險行為・建立可視化風險控管儀表板，提供同仁觀察及定位出風險點・建立並優化風險模型，包含詐欺偵測、異常遊戲行為分析 2.監控與報告・建立即時監控系統，追蹤玩家與交易動態，提供即時風險警示・定期產出風險控管報告，協助管理層決策 3.跨部門合作 ・支援營運、產品與客服團隊，提供數據洞察，降低業務風險・制定風險控管流程與防範措施・協助內部人員辨識風險與詐騙手法

【團隊介紹】 我們不只是一群熱愛玩數據、玩技術的工作者，更是致力於將數據的價值、AI的潛力落實到保險領域的推動者。 在這裡，我們探索各式新技術的應用場景，打造高效解決方案 在這裡，我們應用數據專長助攻公司成長，發揮數據影響力 在這裡，我們不分你我、追求團隊共榮，重視團隊合作 數位轉型不是口號，數據應用不是空談 加入我們！一起用數據翻轉商業價值，「讓保險變得更聰明」！👀更多關於我們做的數據服務，期待您的加入，運用數據專案管理與技術整合能力，推動 AI 轉型與數據生態建構，讓數據創造最大價值！1. 九成跨域人才！國泰產險多元跨域、探索共融 打造數位數據轉型創新基地🔗https://www.bnext.com.tw/article/81887/cathay_ddt_2025012. 國泰產險推業界首創「CarTech智能車險加值服務」，數據驅動助法人車隊落實損害防阻🔗https://www.bnext.com.tw/article/81313/cathay-ins2024113. 國泰產險數位轉型新里程！AI與數據驅動加速全險種理賠、提升風控更有效阻詐2,300萬🔗https://www.bnext.com.tw/article/81460/samrtclaim_2024

【關於我們】 我們是國泰產險的資料科學（DS）團隊，使命在於持續進化數據應用，創造並釋放數據價值。目前正在藉由數據上雲、數據治理與 AI 技術應用，推動由底層架構到業務應用的全端數據生態建構與 AI 轉型準備。 我們尋找認同以下團隊文化的夥伴： * 目標成果導向：重視成果並具合作互助精神 * 積極主動、持續進步：樂於學習與自我成長 * 熱愛數據、對技術充滿熱忱：積極探索與應用新技術 加入我們，一同打造高效且可擴展的數據架構，與跨部門團隊協作推動創新技術應用，提升業務決策精準度與數據價值！👀更多關於我們做的數據服務，期待您的加入，運用數據專案管理與技術整合能力，推動 AI 轉型與數據生態建構，讓數據創造最大價值！1. 九成跨域人才！國泰產險多元跨域、探索共融 打造數位數據轉型創新基地🔗https://www.bnext.com.tw/article/81887/cathay_ddt_2025012. 國泰產險推業界首創「CarTech智能車險加值服務」，數據驅動助法人車隊落實損害防阻🔗https://www.bnext.com.tw/article/81313/cathay-ins2024113. 國泰產險數位轉型新里程！AI與數據驅動加速全險種理賠、提升風控更有效阻詐2,300萬🔗https://www.bnext.com.tw/article/81460/samrtclaim_2024