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Team Lead Manager of Technical Operation @Finstek - GMI2023 ~ Présent
・
Operations Manager / Team Leader / Product Manager / Platform Administrator
Dans 2 mois
Employé
・
Prêt à l'interview
Temps plein / Intéressé par le travail à distance
4 à 6 ans
National Taipei University of Technology
・
Industrial Engineering
軟韌體測試工程師 @鴻海精密工業股份有限公司2017 ~ Présent
・
測試工程師
Dans 3 mois
等測試項目)。 2.針對產品韌體設計開發白箱結構測試(單元測試、整合測試)。 三、韌體測試自動化工具調研與開發： 1.使用Excel VBA開發巨集測試腳本執行自動化重複性任務。 2.設計TTL(Tera Term Language)測試腳本執行韌體自動化測試。 3.開發G Code測試腳
Employé
・
Prêt à l'interview
Temps plein / Intéressé par le travail à distance
6 à 10 ans
National United University
・
電機工程學系副工程師 @大立光電股份有限公司2019 ~ Présent
・
電子工程師，硬體工程師、軟\韌體工程師，開發人員
Dans 1 mois
Employé
・
Prêt à l'interview
Temps plein / Intéressé par le travail à distance
4 à 6 ans
南台科技大學
・
機械工程學系資料分析暨自動化工程師 @泰詠電子股份有限公司(6266)2021 ~ Présent
・
資料分析師 軟體設計工程師 演算法開發工程師 深度學習研發工程師 AI工程師
Dans 1 mois
Employé
・
Prêt à l'interview
Temps plein / Intéressé par le travail à distance
4 à 6 ans
國立中山大學 National Sun Yat-Sen University
・
應用數學系研究所統計組
項目負責人、產品負責人 @Royce Tech2020 ~ 2023
・
顧問、項目負責人、遊戲製作人
Dans 1 mois
老虎機、推幣、彈珠、夾娃娃等機率型遊戲的數值計算。 超過數十款以上的老虎機專案研發，玩法設計與數學模型建立。 能使用『EXCEL VBA』撰寫程式巨集，模擬老虎機遊戲，列印數據產出報表，繪製出吐咬波動曲線圖。 用戶介面與用戶體驗 UI/UX 長期做用戶
Employé
・
Ouvert à de nouvelles opportunités
Temps plein / Uniquement Travail à distance
6 à 10 ans
淡江大學
・
機械工程學系
襄理(總經理室) @元富證券股份有限公司2018 ~ Présent
・
數據分析師、系統分析師
Dans 1 mois
融商品下單] 負責製作金融商品交易摘要日報，向高層管理者提供各類型金融商品的交易金額與交易數量數據 。 通過運用 Excel VBA技能 ，我成功 提升報表生成速度與數據品質。此外 ，還 負責金融商品的下單、配息及到期清算等操作，過程中也運用Excel來
Employé
Temps plein / Intéressé par le travail à distance
4 à 6 ans
國立成功大學
・
國際企業管理, 財務金融
Founder (part-time) @Datagency.fi2022 ~ Présent
・
Data Analyst
Dans 6 mois
Analyst Trainee • Elisa Oyj JuneMay 2017 I worked as a data analyst trainee while finishing my Master's thesis at a Finnish telecom company. Aftersales Data Analysis Trainee • Nissan Nordic Europe SeptemberMarch 2016 I gained my first professional working experience at an automotive company. EducationCoursera Data Science Specialization by John Hopkins UniversityAalto University Information Service ManagementThe University of Adelaide Exchange StudyAalto University International Business Skills Python, R SQL Snowflake dbt Looker, Tableau, Power BI, Qlik Excel VBA Data Analysis Statistical Analysis Data Warehouse Management Business Intelligence (BI) Product Analytics Languages English — Professional Finnish — Intermediate Vietnamese — Native or Bilingual
Temps plein / Intéressé par le travail à distance
4 à 6 ans
Coursera
・
Data Science Specialization by John Hopkins University
外包技術員
Dans 1 mois
展場 多所中學教學成果 線上虛擬匯展。 Html5試玩 3D淨水廠導覽 3D導覽淨水廠與海水化淡廠。 展示影片 EXCEL資料表格填表工具 (VBA) 以過往填表經驗，協助遊戲工作室設計改良原有表格 利用VBA自訂表單 ( UserForm ) ，打造自定義填表格式 搭配excel sheet資料，更靈活擴
Employé
Temps partiel / Intéressé par le travail à distance
10 à 15 ans
軟體設計資深工程師 @台達電子工業股份有限公司2022 ~ 2023
・
軟體工程師
Dans 6 mois
回傳 -廠內系統開發及維護(VB.Net、WinForm、Java) -機台自動化系統導入(.Net、WinForm) -負責MES系統需求開發及維護(VB.Net、VB6) -WebService開發及維護 -Excel VBA維護 -負責MIS需求開發(Asp.Net、C#) -電子工單系統(VB.Net) -關務系統開發(Ext.Net、Ext.js、C#) -版控使用Tortoise(SVN)、VSS -帶領新進
Employé
Temps plein / Intéressé par le travail à distance
4 à 6 ans
國立雲林科技大學
・
資訊工程系
Past
半導體製程工程師 @Visera 采鈺科技2022 ~ 2023
・
工程師、軟體工程師、高級工程師、
Dans 6 mois
作，如對我的資歷有興趣也可參考工作經歷與我的作品集，謝謝! Taichung City, Taiwan 工作經歷 半導體製程工程師 • Visera 采鈺科技 八月八月Excel VBA小工具軟體功能撰寫 2. Image J影像分析軟體 3. RMA樣品Defect分析、良率改善 軟體工程師 • AUO Incoporation 十一月八月AOI機台中控
Sans Emploi
Temps plein / Je ne suis pas intéressé par le travail à distance
4 à 6 ans
國立中興大學
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Definition of Reputation Credits
Technical Skills
Specialized knowledge and expertise within the profession (e.g. familiar with SEO and use of related tools).
Problem-Solving
Ability to identify, analyze, and prepare solutions to problems.
Adaptability
Ability to navigate unexpected situations; and keep up with shifting priorities, projects, clients, and technology.
Communication
Ability to convey information effectively and is willing to give and receive feedback.
Time Management
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Progrès de la Recherche d'Emploi
Professions
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Fields of Employment
Logiciel
Expérience Professionnelle
2 à 4 ans expérience professionnelle (4 à 6 ans relevant)
Management
Compétences
Langues
Chinese
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Natif ou Bilingue
English
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Japanese
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Débutant
Job search preferences
Position Désirée
Financial Analyst
Type d'emploi
Temps plein
Lieu Désiré
香港, Canada, Singapore
Travail à distance
Intéressé par le travail à distance
Freelance
Oui, je suis indépendant à temps partiel
Éducation
École
private chinese culture university
Spécialisation
electronic engineering
Yu Chang, Huang
黃郁璋，Quantitative Analyst，Taiwan，Taipei
[email protected]
As a quantitative researcher with a strong foundation in programming and data analysis, I am passionate about leveraging technology to drive financial innovation and efficiency. Specializing in the cryptocurrency market, I aim to contribute my extensive programming skills to develop sophisticated trading algorithms and systems.
COMPETENCIES
Data analysis Tools
- Multicharts - backtesting software
- MetaTrader4
- Tradingview
Trading Experience
- Taiwan Futures, Options
- Crypto currency ETF
- Binance API, interactive brokers API
Python
crawler, fastapi, pymongo, pandas, thread, asyncio, pikaTools / Development
Mysql. rabbitMQ, mongoDB, GitLab, Jira, LinuxExtra skills: C#, Go
Work Experience
Software Engineer at QTK Investment. , May 2023 - Present
- Developed a trading signal subscription Telegram bot, built RESTful API services using FastAPI, enabling users to subscribe and receive signals through Telegram.
- Managed concurrent data processing from multiple data sources using Python’s asynchronous programming (asyncio), effectively handling high-concurrency data streams to ensure timeliness and responsiveness.
- Utilized MongoDB Atlas for the cloud database, meticulously designed DB schema and regularly scheduled cron jobs to automatically update and maintain data consistency and reliability.
- Developed cryptocurrency copy trading systems and term arbitrage strategies:
- Implemented term arbitrage strategies using WebSocket technology to monitor market quotes in real-time, significantly enhancing the speed of data updates and system response compared to traditional polling methods.
- Processed time-series data using pandas to accurately analyze and predict market trends, dynamically adjusting trading algorithms to optimize the risk and return of investment portfolios.
Quantitative Researcher at Algoreality. , Jan 2021- Dec 2022
- Designed a grid trading robot using Python multithreading technology and asyncio for efficient asynchronous calls to the Binance API, significantly enhancing the execution speed of trading commands and the overall system responsiveness.
- Integrated RabbitMQ messaging queues to establish an efficient order processing mechanism, ensuring stability and reliability in a high-frequency trading environment while reducing system latency.
- Adopted a dynamic grid strategy, dynamically adjusting grid size and trading intervals by analyzing market data in real time, optimizing the strategy's profitability and adaptability to market changes.
- Developed cryptocurrency trading strategies, tightly integrated MultiCharts with Python for rapid development and precise backtesting of complex strategies through robust data analysis and processing capabilities.
- Utilized advanced data analysis techniques, such as time-series analysis, to perform in-depth studies of the cryptocurrency market, thereby designing trading models with high predictive accuracy.
- Continuously optimized and adjusted strategies, successfully managed 1M USDT of funds, achieving stable returns under fluctuating market conditions.
Quantitative Researcher at CryptoVix. , Apr 2020- Dec 2020
- Designed and implemented CTA strategies for the cryptocurrency market using MultiCharts, effectively capturing market trends and price fluctuations for steady profits.
- Integrated advanced technical analysis and quantitative models, enhancing strategy predictive accuracy and trading efficiency through various indicators and algorithms such as Moving Averages (MA), Relative Strength Index (RSI), and machine learning prediction models.
- Developed a flexible backtesting framework using Python, supporting custom strategy parameter adjustments and historical data analysis to quickly evaluate strategy performance and risks.
- Conducted comprehensive performance analysis including Sharpe ratio, maximum drawdown, and profit-loss ratio to ensure strategy stability and reliability under different market conditions.
- Combined real-time data streams and historical backtesting results for continuous strategy adjustments and optimizations to cope with the high volatility and uncertainty of the cryptocurrency market.
Software Engineer at ANVO. , Feb 2018- Dec 2019
- Developed a comprehensive accounting system using C#, tailored to the needs of the finance department, providing efficient accounting and financial reporting capabilities. This system supported the automatic organization and categorization of financial data, greatly enhancing the accuracy and efficiency of financial audits.
- Implemented a flexible reporting template that allowed users to customize financial reports according to specific needs, increasing the system's flexibility.
- Developed an automated financial news collection system using Python, aggregating the latest market information and financial news from major exchanges and financial news websites. This system utilized efficient web crawling technologies and data parsing algorithms to ensure the timeliness and accuracy of the information.
Software Engineer at GuideDesign Studio., Sep 2016 - Feb 2018
- Led the development of a customized inventory management system, using C# as the primary development language. This system automated internal resource management, including financial management, inventory management, and customer data management.
- Utilized C# and Open AI toolkit to develop advanced natural language processing features, automatically organizing and analyzing user consumption details, enhancing the efficiency and accuracy of data processing.
- Successfully integrated the ERP system with front-end POS machines, automating the sales process from consumption details to receipt output, significantly speeding up transaction processing and enhancing customer checkout convenience.
- Developed an interface that allowed the ERP system to directly call the Microsoft Word suite to automatically generate formatted receipts based on consumption details and print them through the POS machine, greatly improving work efficiency and customer satisfaction.
- Designed and implemented a user-friendly GUI (Graphical User Interface), enabling non-technical staff to easily operate the ERP system, increasing system usage rates and improving enterprise work efficiency.
- Managed the database using MySQL, optimizing the data storage structure to ensure efficient data access and security, supporting the data needs of enterprise operations.
- Specialized in developing highly customized trading strategies using the MQL4 language, designed and implemented automated trading algorithms tailored to different market conditions and trading styles. These strategies automatically adjusted parameters during market fluctuations to maximize profits and control risks.
- Conducted in-depth performance optimization for MT4 strategies, ensuring algorithm stability and low-latency execution in a high-frequency trading environment. Additionally, provided robust backend support for strategies, including data analysis, strategy backtesting, and real-time monitoring, ensuring that the trading systems were effective under various market conditions.
Yu Chang, Huang
黃郁璋，Quantitative Analyst，Taiwan，Taipei
[email protected]
As a quantitative researcher with a strong foundation in programming and data analysis, I am passionate about leveraging technology to drive financial innovation and efficiency. Specializing in the cryptocurrency market, I aim to contribute my extensive programming skills to develop sophisticated trading algorithms and systems.
COMPETENCIES
Data analysis Tools
- Multicharts - backtesting software
- MetaTrader4
- Tradingview
Trading Experience
- Taiwan Futures, Options
- Crypto currency ETF
- Binance API, interactive brokers API
Python
crawler, fastapi, pymongo, pandas, thread, asyncio, pikaTools / Development
Mysql. rabbitMQ, mongoDB, GitLab, Jira, LinuxExtra skills: C#, Go
Work Experience
Software Engineer at QTK Investment. , May 2023 - Present
- Developed a trading signal subscription Telegram bot, built RESTful API services using FastAPI, enabling users to subscribe and receive signals through Telegram.
- Managed concurrent data processing from multiple data sources using Python’s asynchronous programming (asyncio), effectively handling high-concurrency data streams to ensure timeliness and responsiveness.
- Utilized MongoDB Atlas for the cloud database, meticulously designed DB schema and regularly scheduled cron jobs to automatically update and maintain data consistency and reliability.
- Developed cryptocurrency copy trading systems and term arbitrage strategies:
- Implemented term arbitrage strategies using WebSocket technology to monitor market quotes in real-time, significantly enhancing the speed of data updates and system response compared to traditional polling methods.
- Processed time-series data using pandas to accurately analyze and predict market trends, dynamically adjusting trading algorithms to optimize the risk and return of investment portfolios.
Quantitative Researcher at Algoreality. , Jan 2021- Dec 2022
- Designed a grid trading robot using Python multithreading technology and asyncio for efficient asynchronous calls to the Binance API, significantly enhancing the execution speed of trading commands and the overall system responsiveness.
- Integrated RabbitMQ messaging queues to establish an efficient order processing mechanism, ensuring stability and reliability in a high-frequency trading environment while reducing system latency.
- Adopted a dynamic grid strategy, dynamically adjusting grid size and trading intervals by analyzing market data in real time, optimizing the strategy's profitability and adaptability to market changes.
- Developed cryptocurrency trading strategies, tightly integrated MultiCharts with Python for rapid development and precise backtesting of complex strategies through robust data analysis and processing capabilities.
- Utilized advanced data analysis techniques, such as time-series analysis, to perform in-depth studies of the cryptocurrency market, thereby designing trading models with high predictive accuracy.
- Continuously optimized and adjusted strategies, successfully managed 1M USDT of funds, achieving stable returns under fluctuating market conditions.
Quantitative Researcher at CryptoVix. , Apr 2020- Dec 2020
- Designed and implemented CTA strategies for the cryptocurrency market using MultiCharts, effectively capturing market trends and price fluctuations for steady profits.
- Integrated advanced technical analysis and quantitative models, enhancing strategy predictive accuracy and trading efficiency through various indicators and algorithms such as Moving Averages (MA), Relative Strength Index (RSI), and machine learning prediction models.
- Developed a flexible backtesting framework using Python, supporting custom strategy parameter adjustments and historical data analysis to quickly evaluate strategy performance and risks.
- Conducted comprehensive performance analysis including Sharpe ratio, maximum drawdown, and profit-loss ratio to ensure strategy stability and reliability under different market conditions.
- Combined real-time data streams and historical backtesting results for continuous strategy adjustments and optimizations to cope with the high volatility and uncertainty of the cryptocurrency market.
Software Engineer at ANVO. , Feb 2018- Dec 2019
- Developed a comprehensive accounting system using C#, tailored to the needs of the finance department, providing efficient accounting and financial reporting capabilities. This system supported the automatic organization and categorization of financial data, greatly enhancing the accuracy and efficiency of financial audits.
- Implemented a flexible reporting template that allowed users to customize financial reports according to specific needs, increasing the system's flexibility.
- Developed an automated financial news collection system using Python, aggregating the latest market information and financial news from major exchanges and financial news websites. This system utilized efficient web crawling technologies and data parsing algorithms to ensure the timeliness and accuracy of the information.
Software Engineer at GuideDesign Studio., Sep 2016 - Feb 2018
- Led the development of a customized inventory management system, using C# as the primary development language. This system automated internal resource management, including financial management, inventory management, and customer data management.
- Utilized C# and Open AI toolkit to develop advanced natural language processing features, automatically organizing and analyzing user consumption details, enhancing the efficiency and accuracy of data processing.
- Successfully integrated the ERP system with front-end POS machines, automating the sales process from consumption details to receipt output, significantly speeding up transaction processing and enhancing customer checkout convenience.
- Developed an interface that allowed the ERP system to directly call the Microsoft Word suite to automatically generate formatted receipts based on consumption details and print them through the POS machine, greatly improving work efficiency and customer satisfaction.
- Designed and implemented a user-friendly GUI (Graphical User Interface), enabling non-technical staff to easily operate the ERP system, increasing system usage rates and improving enterprise work efficiency.
- Managed the database using MySQL, optimizing the data storage structure to ensure efficient data access and security, supporting the data needs of enterprise operations.
- Specialized in developing highly customized trading strategies using the MQL4 language, designed and implemented automated trading algorithms tailored to different market conditions and trading styles. These strategies automatically adjusted parameters during market fluctuations to maximize profits and control risks.
- Conducted in-depth performance optimization for MT4 strategies, ensuring algorithm stability and low-latency execution in a high-frequency trading environment. Additionally, provided robust backend support for strategies, including data analysis, strategy backtesting, and real-time monitoring, ensuring that the trading systems were effective under various market conditions.