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4-6 years
6-10 years
10-15 years
More than 15 years
Feature Product Manager & Software Engineer @聯發科2020 ~ Present
・
資深軟體工程師
Within one month
open-platform-related development and planning. During my time pursuing a Master's degree in Information Management at National Chiao Tung University, I delved into deep learning and its applications in finance. My research culminated in a thesis on multi-modal deep learning for semantic models in stock trading strategies. Throughout my graduate studies, I actively participated in various competitions and received accolades for my contributions." 現任職於聯發科技第五年，擔任相機資深軟體工程師暨人像模式之功能
Employed
・
Ready to interview
Full-time / Interested in working remotely
4-6 years
國立師範大學附屬高級中學
Corp. IT Data Engneer @Morrison Express Corp.2022 ~ Present
・
Python Developer
Within three months
readable code utilizing Flask, SQLAlchemy, Requests, and Pandas. Looking to leverage solid AWS, Python, Docker and API development skills to take on new challenges in a quality-driven organization 十一月一月 2022 Software Engineer Kuchi Technology Developed and maintained a robust 24/7 Taiwan futures trading system with no downtime over 12 hours for 12 consecutive months. Developed over 10 web scraping services using Python including Requests, BeautifulSoup and Selenium to extract data. Expert in data cleaning and data mining using Python libraries like Pandas, NumPy and Matplotlib Developed dozens of trading strategies
Employed
・
Open to opportunities
Full-time / Interested in working remotely
6-10 years
國立台灣大學 (National Taiwan University, NTU)
・
Psychology
Web Developer @Super Micro Computer, Inc.2022 ~ Present
・
Back-end Developer
Within two months
大學 (National Chi Nan University~學士 Bachelor 國立暨南國際大學 (National Chi Nan University~畢業論文 〈運用多樣移動平均線結合演化計算實現動態交易策略〉 “Dynamic Stock Trading Strategy Based on Various Moving Average with Meta-heuristic Algorithm” 國際論文 IEEE SMC 2015 〈基於創新的風險評估策略並結合基因演算法解決投資組合最佳化問題〉 “Portfolio Optimization
Employed
・
Open to opportunities
Full-time / Interested in working remotely
4-6 years
國立暨南國際大學(National Chi Nan University)
・
Computer Science Information Engineering
Offline
Offline
Analyst of Quantitative Finance @幣昇資訊有限公司-Cryptovix2020 ~ Present
・
Financial Analyst
Within one month
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. , JanDec 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
Employed
Full-time / Interested in working remotely
4-6 years
private chinese culture university
・
electronic engineering
資料分析師 @天鏡科技
資料分析師
Within one year
SQL. Statistics Analysis : Variance analysis, regression analysis, logistic regression analysis, principal component analysis. Hands-on Data type : Numerical data, time series data, categorical data, text data, imbalance data. Languages Mandarin, English Experience Data Analyst - skymirror co.，AprMaydata modelling Make statistical model for daily or long term trading strategy of Taiwan, China, US future market, and oversea financial derivatives. Reviewing and improving the model. Applying financial indicator or machine learning e.g. Xgboost and RNN to predict market. And improve the model. Study new technical about deep learning or mathematical algorithm
Full-time / Interested in working remotely
6-10 years
國立台北大學
・
統計
Founder @Faadoo Marketing Private Limited2018 ~ Present
・
Founder
More than one year
Full-time / Interested in working remotely
6-10 years
Vidyavardhini College of Engineering and Technology
・
Bachelor of Engineering B.E. Instrumentation Engineering
Project manager @AN2018 ~ 2019
・
More than one year
方彥智 目前職稱 • 城市，TW • [email protected] - Quantitative trading. - International/Taiwan futures trading. - Strategy designing. - Risk management. 交易策略設計 藉由獨特的交易邏輯，滿足客戶帳戶在一定風險底下，追逐需求報酬；並藉由優化、改良、分散風險等方式，降低客戶帳戶風險、進而提升獲利與穩定性。 風險
Full-time / Interested in working remotely
4-6 years
TamKang University
・
econimicChief Executive Officer @RDM Capital Funding, LLC2015 ~ Present
・
Partner
More than one year
Part-time / Interested in working remotely
6-10 years
Fairleigh Dickinson University
・
BusinessFull-time / Interested in working remotely
6-10 years
National Tsing Hua University
・
光電所
tech lead @aurora tech
資深系統分析師
More than one year
adding symbol, exchange, or different bar for different trading systems. Develop new architecture for high frequency trading. Risk-management detection mechanism for existing trading systems. Refactor trading system for more c lean architecture. Co-work with trader and machine learning engineer to design and implement new strategies for trading systems. Use Amason EKS for system devops. Use Cloudwatch and Slack for system warning mechanism and setup strict Risk-management rule for portfolio management. Recently become back-end leader Results CTA Trading System Maker strategy Trading System Hedger strategy Trading System High-Frequency Trading
Employed
Full-time / Interested in working remotely
4-6 years
國立台灣大學
・
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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
Ability to prioritize tasks based on importance; and have them completed within the assigned timeline.
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Ability to work cooperatively, communicate effectively, and anticipate each other's demands, resulting in coordinated collective action.
Leadership
Ability to coach, guide, and inspire a team to achieve a shared goal or outcome effectively.
Professional Background
Current status
Employed
Job Search Progress
Professions
Market Finance
Fields of Employment
Software
Work experience
2-4 years work experience (4-6 years relevant)
Management
Skills
Languages
Chinese
・
Native or Bilingual
English
・
Intermediate
Japanese
・
Beginner
Job search preferences
Positions
Financial Analyst
Job types
Full-time
Locations
香港, Canada, Singapore
Remote
Interested in working remotely
Freelance
Yes, I freelance in my spare time
Educations
School
private chinese culture university
Major
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.