「Quantitative Machine Learning Alpha Researcher - Quantitative Algorithmic Trading Team」的相似工作

・協助研發軟體新技術與新工具 ・金融系統開發 ・負責軟體之分析、設計以及程式撰寫 ・進行軟體之測試與修改

【工作內容】 • 參與證券交易相關系統之開發與維護（C# / .NET / C++） • 與交易員合作開發與維運交易策略程式 • 負責功能測試、效能測試、系統穩定性確認 • 協助主管與工程團隊完成日常技術任務 【我們希望你具備】 • 3 年以上軟體開發經驗 • 熟悉 C# or C++ • 熟悉windows系統 • 對金融或交易系統有興趣 • 能獨立負責任務，同時具備團隊合作能力 • 追求卓越，注重細節，對成果負責。 【加分項目】 • 熟悉股票/期貨的交易流程 • 具股票/期貨策略程式開發經驗（如：接收券商行情/介接券商API下單...等）

1.負責資訊系統之程式開發、單元測試撰寫、功能測試 2.負責資料庫程式開發與維護 3.負責系統開發相關文件撰寫 4.負責系統維護管理與功能更新 5.負責程式資安議題處理及修正 6.新技術構建評估及導入 7.其他主管交辦事項 104僅供職缺參考，若您對此職缺有興趣，請至本行「玉山菁英甄選網站」投遞履歷。如書審通過，後續將邀請您參加面談。【投遞網址：https://esnhr.pse.is/394b2n】

[About Us] Quantrend Technology focuses on building financial trading strategies across a variety of asset classes and global markets. We empower the paradigm shift from traditional quant to AI quant by using modern end-to-end deep learning models. The difference between traditional approaches and our proprietary solution is that our models can automatically extract robust and high-quality trading signals (Alphas), but traditional hand-crafted approaches often fail to do so. We are a performance-driven company, seeking agile and talented people to join our team. Our working environment is relaxed yet intellectually intense. If you are a tech-savvy individual who enjoys the challenges of solving difficult technical problems in a fast-paced, energetic environment, then this is the role for you. We value the contributions of trading strategy developers and offer lucrative dividends and annual bonuses to high-performance employees. If you ever imagine running your startup where the profits are directly associated with your efforts, join us now! [Responsibilities] Quantitative Researcher - End-to-end research and development, including alpha idea generation, data processing, strategy backtesting, optimization, and production implementation. - Perform rigorous and innovative research to discover systematic anomalies in the market. - Identify and evaluate new datasets for alpha generation. - Collaborate with machine learning alpha research and engineering teams to generate practical trading signals. - Conduct quantitative research independently including market data analysis, prototyping, backtesting, strategy parameters tuning, and performance monitoring. - Design and maintain trading models and strategies framework with the backend engineer team. Trading models and strategies execution implementation and market monitoring. - Maintain and improve portfolio trading in the production environment. [Responsibilities] Quantitative Trader - Research and develop new trading strategies - Operate automated trading systems including adjusting strategy parameters - Suggest automation and improvements to systems and strategies - Contribute to all other aspects of trading activities including but not - limited to position reconciliation, risk management tasks, identifying opportunities, research, and post-trade analysis - Stay current with changes in system functionality, market structure changes, and industry developments - Communicate closely with our trading team and senior management [Requirements] - Degree in mathematics, physics, computer science, finance, business school, or with other quantitative-related experience. - Interest in quantitative research and statistical evidence-driven decision-making. - Experienced in trading crypto, equity, FX, options, or futures will be a plus. - Programming skill in Python is a must, experience with C++ or Rust is a plus - Strong analytical and quantitative skills are a must. - Ability to development of trading models or strategies independently. - Demonstrated ability to conduct independent research on alpha factors. - Ability to design and figure out innovative alternative alpha factors as trading signals.

[About Us] Quantrend Technology focuses on building financial trading strategies across a variety of asset classes and global markets. We empower the paradigm shift from traditional quant to AI quant by using modern end-to-end deep learning models. The difference between traditional approaches and our proprietary solution is that our models can automatically extract robust and high-quality trading signals (Alphas), but traditional hand-crafted approaches often fail to do so. We are a performance-driven company, seeking agile and talented people to join our team. Our working environment is relaxed yet intellectually intense. If you are a tech-savvy individual who enjoys the challenges of solving difficult technical problems in a fast-paced, energetic environment, then this is the role for you. We value the contributions of trading strategy developers and offer lucrative dividends and annual bonuses to high-performance employees. If you ever imagine running your startup where the profits are directly associated with your efforts, join us now! [Responsibilities] - End-to-end research and development, including alpha idea generation, data processing, strategy backtesting, optimization, and production implementation. - Perform rigorous and innovative research to discover systematic anomalies in the market. - Identify and evaluate new datasets for alpha generation. - Collaborate with machine learning alpha research and engineering teams to generate practical trading signals. - Conduct quantitative research independently including market data analysis, prototyping, backtesting, strategy parameters tuning, and performance monitoring. - Design and maintain trading models and strategies framework with the backend engineer team. Trading models and strategies execution implementation and market monitoring. - Maintain and improve portfolio trading in the production environment. [Requirements] - Degree in mathematics, physics, computer science, finance, business school, or with other quantitative-related experience. - Interest in quantitative research and statistical evidence-driven decision-making. - Experienced in trading crypto, equity, FX, options, or futures will be a plus. - Programming skill in Python is a must, experience with C++ or Rust is a plus - Strong analytical and quantitative skills are a must. - Ability to development of trading models or strategies independently. - Demonstrated ability to conduct independent research on alpha factors. - Ability to design and figure out innovative alternative alpha factors as trading signals.

Timeline Capital was founded in 2016 as an algorithmic research and technology firm. We are active in several markets in Asia and looking for researchers to join our team. As our trading capabilities grow, we are looking for additional quantitative researchers to build, maintain, and optimize our trading models. As a key member of our research team, you will collaborate closely with other traders, technologists, and researchers. In this role you can apply your quantitative skills to: - Research, build, and test predictive signals - Identify and experiment with ideas to improve existing models - Apply different machine learning models to existing features and data sets - Evaluate new machine learning techniques on our existing time-series data sets - Explore different methods to monetize signals - Integrate predictive signals into new trading models The work will be challenging, fast-paced, and competitive. You will have the opportunity to work with smart people in a creative and open environment. A financial background is not necessary, rather we are looking for people who have worked extensively with data. You will be working with senior management with extensive quantitative experience in overseas markets. Timeline Capital 成立於2016年，我們深耕於亞洲市場並專注於演算法和技術開發。隨著我們交易能力的增加，我們希望能招聘更多的量化研究員來幫忙構建、維護和改進我們的交易模型。作為我們研究團隊的關鍵成員，您將與其他交易員、技術人員和研究員密切合作。 在這個角色裡，您能將您的技術技能應用於： - 研究、構建和測試信號 - 改進現有模型 - 將不同的模型應用於現有的數據 - 在我們現有數據上評估新的技術 - 探索所有辦法 - 將預測信號整合進新的交易模型中 這份工作將具有挑戰性、競爭激烈且節奏快速。您將有機會與頂尖的團隊們一起工作，在創意和開放的環境中共同進步。這個職位不要求金融背景，我們更看重的是有大量數據處理經驗的人才。此職位位於台灣台北，您將與具有海外市場豐富定量經驗的高層管理人員合作。

＊來信應徵請附上：操作經歷(商品、交易狀況、績效、過往研究成果)。無法附件在104可以來信至[email protected]信箱 【工作內容】 • 國內股、債、期權等各項金融商品策略之開發與交易執行 • 計量模型研發與交易回測 • 金融數據蒐集與分析 • 完成交辦事項 【我們希望你具備】 • 交易經驗2年以上 • 熟悉程式設計Python、R或其他量化分析程式語言 • 對交易有熱忱 • 樂觀抗壓有毅力、自律性高 • 面對市場的變化，有獨立思考能力 • 具風險控管能力 • 有自己擅長的金融商品佳 • 始終保持謙遜心態面對市場 【加分項目】 • 英文閱讀能力良好 • 有金融交易相關實習經驗 【公司福利】 • 依個人操作績效加發高額績效獎金，獎金無上限 • 補班日皆放假（上班日比照台股開盤時間）

1.國內股、債、期權等各項金融商品策略之開發與交易執行 2.計量模型研發與交易回測 3.金融數據蒐集與分析 4.其他主管交辦事項

This vacancy is open for talent pool collection. We will contact you if we have proper vacancies that fit with your profile. Job Mission Represent manufacturing and act as gatekeeper from manufacturing to D&E function Add value in overall manufacturing processes such as forming, machining, joining, and assembling Job Description Contribute to the solution of faults and takes the necessary initiatives and practical decisions to ensure zero repeat Identify gaps and drive assigned process improvement projects and successful delivery Initiate and drive new procedure changes and projects Develop and maintain networks across several functional stakeholders Prioritize works and projects based on business situation Transfer knowledge and train colleagues on existing and newly introduced products Education Master degree in technical domain (e.g. electrical engineering, mechanical engineering, mechatronics) Experience 3-5 years working experience in design engineering Personal skills Show responsibility for the result of work Show proactive attitude and willing to take initiative Drive for continuous improvement Able to think outside of standard processes Able to work independently Able to co-work with different functional stakeholders Able to demonstrate leadership skills Able to work in a multi-disciplinary team within a high tech(proto) environment Able to think and act within general policies across department levels Diversity and inclusion ASML is an Equal Opportunity Employer that values and respects the importance of a diverse and inclusive workforce. It is the policy of the company to recruit, hire, train and promote persons in all job titles without regard to race, color, religion, sex, age, national origin, veteran status, disability, sexual orientation, or gender identity. We recognize that diversity and inclusion is a driving force in the success of our company. Need to know more about applying for a job at ASML? Read our frequently asked questions.

Qualifications: - Academic background or strong interest in financial market microstructure data analysis - Proficiency in Python or similar programming languages - Educational background in Statistics, Mathematics, Computer Science, Physics, or related STEM fields - Fundamental understanding of quantitative research methodologies and lightGBM, XGBoost or any machine learning packages Preferred Qualifications: - Experience with C++ on Linux or Unix-like platforms - Knowledge of database management and SQL operations - Familiarity with version control systems (Git) Responsibilities: - Assist in developing and enhancing existing trading models and strategies - Support financial data analysis and market research projects - Provide analytical support to experienced traders and researchers

1. 以計量統計方法處理經濟、財務與市場資料並進行預測 2. 參與開發產品與投資策略 3. 協助交辦之專案事項

招募台灣地區工程師 公司提供簽證的更新以及新規簽證。 可提供高度人才簽證(5年)額外加20分，提早取得永久居留權。 執行案件為一般商業、金融案件居多，會派至委託公司駐點或在宅。 【工作內容】 1.負責軟體之分析、設計以及程式撰寫。 2.規劃執行軟體架構及模組之設計，並控管軟體設計進度。 3.進行軟體之測試與修改。 4.規劃、執行與維護量產的產品。 5.協助研發軟體新技術與新工具。 【工作職缺】Python軟體開發工程師(工作經驗三年以上) 【徵求條件】JAVA,NET,C#C,C++,Python,salesforce,SAP,PHP,IOS,Android,AWS,React.Ruby.C# （其中有一至兩項擅長的項目歡迎詢問） *無日文N1以上(可無檢定證書,但需聽說讀寫流利)請勿投遞履歷，國外遠端工作不可* 【工作地點】日本關東地區 【工作時間】9:00-18:00 中午休息1小時（依客戶現場為主） 【公司制度】1.提供雇用保險、健康保險、年金保險 2.完全週休2日、GW/夏休／年末年始連休 3.工作產生的交通費實報實銷 4.一年一度健康檢查

VICI Holdings' Strategy Research Lab leverages Generative AI and Large Language Models (LLMs) to extract insights from financial and operational data and design cutting-edge strategies. • The AI Data Scientist/Internship/Campus hire develops talent skilled in AI pair-programming workflows and AI-agent architectures to accelerate data exploration, rapid prototyping, and strategy evaluation. • Outstanding interns may convert to full-time roles and continue pioneering the intersection of quantitative trading and Generative AI. Roles/ Responsibilities: • Use LLM-powered AI pair-programming to explore, clean, and analyze large datasets. • Apply AI-agent architectures to automatically generate and evaluate strategies. • Develop AI-driven applications for automated news analysis, investment recommendations, and risk management decision-making. • Build, fine-tune, and evaluate AI or LLM models to identify key features from data and produce analytical reports. • Collaborate with researchers and engineers to integrate models or insights into internal systems and monitor performance. Required Skills: • Proficiency in Python with data libraries such as Pandas and NumPy. • Hands-on experience with one deep-learning framework (PyTorch or TensorFlow). • Comfortable with Git / GitHub workflow and AI pair-programming with LLMs. • Strong prompt-engineering skills to steer LLMs for code and insights. Preferred Qualifications: • Final-year undergraduates or second-year master's students in EE, CS, Statistics, Mathematics, Physics, Financial Engineering, or related fields. Other Requirement: • Highly curious, self-motivated, with strong analytical thinking. • Effective communicator in English and Chinese. Interview Process (Process sequencing may be adjusted as appropriate) Resume selection -->Coding Assessment -> F2F Interview( Hiring team) --> HR Manager

1. 研究、設計並持續優化高頻交易策略（如高頻做市、高頻趨勢、高頻對沖等）。 2. 分析多市場交易數據與客戶交易模式，建立統計套利、因子模型或機器學習等交易策略。 3. 負責策略模型的搭建、歷史數據回測與績效評估。 4. 研究交易撮合機制與市場行為，並據此優化策略表現與風險控制。 5. 協助策略在實際交易環境中部署、監控與調整，確保執行效率與穩定性。 6. 與技術、風控、營運等部門密切合作，推進策略實施與持續優化。

-金融科技系統之分析、設計以及程式撰寫。 -金融商品大數據處理與趨勢分析。 -協助進行量化交易\投資及ETF避險策略研究。 -協助進行擇時\選股模型回測及程式開發。

課程研發與迭代： •⁠ ⁠基於對交易市場（差價合約、期權、互換等）的深刻理解，能對業內業務形態及相關交易策略進行分析並制作相關培訓課程。 •⁠ ⁠持續跟蹤全球金融市場動態、監管政策變化及前沿交易技術（如量化、算法），並與最新實踐融入課程體系，確保內容的時效性與領先性。 •⁠ ⁠設計符合不同客戶（機構/團隊/個人）需求的定制化培訓方案。 專業授課與價值傳遞： •⁠ ⁠面向交易員、業務團隊及資深投資者，進行交易相關授課。 •⁠ ⁠為學員剖析交易行為背後的市場邏輯、業務策略，提升學員的行業認知與實戰決策能力。 •⁠ ⁠解答學員在實際交易中遇到的復雜問題，提供建設性指導。 業務理解與協同： •⁠ ⁠理解行業內商業邏輯與銷售流程，能夠從業務需求出發，協助團隊進行業務策略制定、方案演示與對潛在客戶的技術答疑。 行業影響力建設： •⁠ ⁠代表工作室參與行業會議、研討會，發表演講，提升公司形象。 •⁠ ⁠撰寫文章、市場評論或錄制短視頻等，在專業領域持續發聲，擴大影響力。

1.量化策略研究開發：利用市場數據進行分析，建立策略並回測，建構具預測性之模型。 2.策略部署：將回測通過的策略轉化為可實際運行的交易程式。 3.市場監控：即時追蹤市場狀況，檢測異常行情或策略失效。 4.持倉風控管理：針對操作部位進行避險操作，衡量整體投資組合風險評估。 5.事件分析：針對重要經濟事件或市場變化做出情境分析與對應策略。 6.團隊合作：共同完成投資部門績效目標。 7.其他專案支援：支援臨時專案，如現增案、併購案或重大議題之分析。 ※本職缺依個人專業年資及學歷經驗核定職務及敘薪。

**我們在找｜量化研究員實習生** ★工作內容： - 獨立進行量化研究 - 建立統計與預測模型 - 管理完整的研究流程，包括方法挑選、資料蒐集與分析、建立模型原型、回測、及效能監控。

我們正在尋找對金融市場和演算法交易充滿熱情的深度學習開發工程師。您將專注於運用最先進的機器學習技術，設計、開發並驗證用於股市預測的模型，挖掘交易機會。 工作內容： 1.設計、開發並驗證以深度學習為基礎的預測模型（特別是 Transformer 或 LSTM），應用於股市數據。 2.處理並分析大量金融時間序列數據，並進行有效的特徵工程。 3.建立嚴謹的回測框架，用以評估模型與交易策略的歷史績效與風險。 4.與團隊合作，將經過驗證的模型部署至模擬或實盤交易環境中。 5.持續優化現有模型，以提升預測準確度與穩定性。

[Job Description] •Develop and maintain a web-based system for financial data processing. •Implement P&L calculations, exposure tracking, and performance reporting over user-defined periods. •Integrate market data and indicators or signals from the quant team to support trading strategies. •Process and analyze external financial data sources/APIs (e.g., Bloomberg). •Ensure data accuracy, system stability, and performance optimization. •Maintenance and implementation of machine learning models. [Job Requirements] •Strong experience in backend development (Python(preferred), Node.js, or other relevant languages). •Proficiency in working with databases (SQL(preferred) or NoSQL). •Proficiency in creating and maintaining databases will be considered a plus. •Basic knowledge of frontend technologies (HTML, CSS, JavaScript) to support system integration. •Familiarity with financial markets and handling large datasets, also machine learning. •Experience in market data processing and familiarity with financial instruments is a plus. •Proficiency in written and spoken English and Chinese •Can work under pressure on ad-hoc projects *This position requires on-site test only. Please ensure you are able to attend the test in person. (僅有實體測驗，且此職位非遠距，請確保您能配合再投遞履歷) *Please provide an English resume.*

Junior analyst based in Asia covering technology stocks - advanced excel modeling skills - fluent in English and mandarin - good communication skills with portfolio manager - open minded and willingness to adapt to fast changing environment. *Please attach your English resume when you apply this position.(請在104檔案附上您的英文履歷)* This position requires on-site work only. Please ensure you are able to attend the interview in person.(僅有實體面試，且此職位非遠距，請確保您能配合再投遞履歷)

Key Responsibilities: 1. Retrieve and analyze information from databases and external data sources such as Bloomberg and Wind 2. Help to collect, organize, and prepare meeting materials 3. Interact with colleagues from portfolio management, research, and IT to facilitate data and system implementation 4. Other assignments

我們團隊專注於探索區塊鏈、AI、Web3等領域的最新趨勢，尋求有潛力的實習生一起研究與實作，累積經驗，開發市場新機會。如果你對新創充滿熱情，喜愛挑戰和實踐，歡迎加入我們，一起學習、成長！ 工作內容： 1. 初級市場研究與機會挖掘 監控新創項目動向，分析熱門項目（如AI、Web3項目等）的背景、社群熱度及狀況。 參與特定專業社群的討論與研究，發掘早期潛在機會，特別關注區塊鏈生態中的創新應用。 2. 模擬交易策略設計與優化 設計並優化交易策略，利用歷史數據進行回測與優化，以確保策略的穩定性和盈利能力。 3. 交易機器人開發 針對現有交易框架進行優化，或協助開發自動化交易系統。 協助整合雲端伺服器，實現即時交易功能。 4. 數據分析與項目評估 進行新創早期項目的深度分析，支持投資決策。 需具備的技能： 熟悉 Python 或 C++，並具備策略部署的經驗。 對區塊鏈技術與加密貨幣市場有較為深入的認識，有1年以上操作經驗。 具備創新能力，能快速落實想法並解決問題。 加分條件： 強大的團隊合作與溝通能力。 有金融、數據分析或相關領域的學習背景。 熟悉多鏈生態（如ETH、SOL、SUI等），具備跨鏈交易經驗 提供的資源與支持： 公司提供所有必要的操作資源。 表現優異的人員，有機會獲得更多資源和激勵。 合作模式： 這是雙向合作機會，提供實務經驗與學習機會，採委任契約，報酬與成果掛鉤，不涉及固定工時或勞僱關係。