Daniel Wen
Melton,VIC
Summary
Results-driven analyst specialising in financial and quantitative analysis. Expertise in Python, SQL, and statistical methods, providing actionable insights for stakeholders. Skilled in risk assessment and pricing strategies, ensuring clarity in complex data sets.
Overview
5
5
years of professional experience
Work History
Financial Data Analyst
Easygo Gaming
08.2024 - Current
- Developed monthly management reporting dashboard with Finance Business Partners and Executives, tracking key qualitative and quantitative KPIs.
- Automated data gathering, transformation, and calculations through pipelines from external APIs, ERPs, and data warehouses for streamlined reporting.
- Modeled and reconciled complex transactional and settlement fee structures, identifying significant inefficiencies in provider fees, resulting in cost-saving decisions.
Junior Trading Analyst
AE Capital
02.2024 - 07.2024
- Maintained daily operations of systematic trading systems, ensuring uptime and accurate reconciliation across multiple accounts.
- Identified and resolved issues swiftly under pressure by coordinating with third-party banks and software engineers.
- Developed real-time risk monitoring system utilising options implied volatility data, enabling proactive adjustments to risk exposure.
- Collaborated with senior traders to create and backtest FX and futures trading strategies for optimised execution.
- Analysed execution costs for FX and futures trades using Python, SQL, and Excel, validating reports and providing strategic insights.
Quantitative Data Developer/Analyst/Research Assistant
9epoch
07.2020 - 02.2024
- Collaborated with Australian equity fund managers to optimise algorithmic trading strategies and quantitative models.
- Designed earnings-driven models, ETF rebalancing strategies, and pre-market auction trading for enhanced execution.
- Constructed a data pipeline integrating alternative datasets such as Twitter and flight data into PostgreSQL for analytics.
- Built a real-time market alert system, delivering automated alerts via Slack and email to improve response times.
- Developed a serverless crypto trading platform, facilitating live trading simulations to gather market feedback on strategies.
Education
Bachelor of Information Technology & Bachelor of Business - Business Information Systems, Banking & Finance
Monash University
03.2023
Skills
- SQL and Python
- Data manipulation with Pandas and Numpy
- API integration and Requests
- Data visualization with Tableau and Dash
- Spreadsheet management in Excel and Google Sheets
- Database management with Redshift and PostgreSQL
- Cloud services: AWS, S3, EC2, Lambda, Secrets Manager
- Version control with GitHub
- Financial analysis, trading, and risk management
Personal Projects
Automated algorithmic crypto trading bot
- Engineered a market-risk-neutral quantitative momentum trading crypto strategy, leveraging cross-sectional momentum factors to create a momentum spread (long top-ranked assets, short bottom-ranked assets)
- Deployed the trading system on AWS Lambda, using GitHub Actions, Docker, and AWS EventBridge to execute 10 or more daily trades via Bybit's CCXT API with 99.9% uptime
Sports trading portfolio
- Trading a portfolio of sports betting strategies, including value betting, cross-bookie arbitrage, and matched betting
- Developing an AFL predictive model strategy using XGBoost to predict future player statistics (disposals, marks, tackles, and fantasy) to find mispriced lines from bookmakers
- Conduct appropriate risk management practices to ensure acceptable portfolio volatility and longevity
Timeline
Financial Data Analyst
Easygo Gaming
08.2024 - Current
Junior Trading Analyst
AE Capital
02.2024 - 07.2024
Quantitative Data Developer/Analyst/Research Assistant
9epoch
07.2020 - 02.2024
Bachelor of Information Technology & Bachelor of Business - Business Information Systems, Banking & Finance
Monash University
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