QUANTITATIVE ANALYST, EQUITY

Our client is a well-established insurance company with an unparalleled reputation across the Asia Pacific region. With the continued growth of the organization, the need has arisen to recruit high calibers to join them.

The role focuses on performing technical and quantitative analysis on stocks, market indices, and commodities, with responsibilities including backtesting trading signals, monitoring performance, and integrating fundamental analysis to support investment decisions.

• Conduct in-depth technical analysis on stocks, market indices, and commodities using tools such as moving averages, RSI, MACD, Bollinger Bands, and candlestick patterns to identify trends, entry / exit points, and trading opportunities.
• Generate actionable reports and presentations summarizing technical and fundamental findings for portfolio managers, traders, and senior leadership
• Utilizing quantitative analysis / tools, develop trading strategies incorporating market factors and signals, including volatility, momentum, and volume, market sentiment, positioning.
• Design, backtest, and optimize trading signals and strategies using historical data to ensure robust performance and risk-adjusted return
• Monitor macroeconomic indicators, market sentiment, and news events to contextualize technical patterns and market movements.
• Incorporate fundamental analysis for stocks, analyzing financial statements, earnings reports, and valuation metrics (e.g., P / E, EPS, debt-to-equity) to complement technical and quantitative findings.
• Develop and maintain analytical models, dashboards, and reports using programming tools (e.g., Python, R) to visualize trends and signal performance.
• Collaborate with portfolio managers, data scientists, and research teams to align analytical outputs with investment objectives and risk management frameworks.

To be considered, you should be a Degree holder with a minimum of 4 years of experience in technical analysis and / or quantitative analysis in a financial services, sell side trading platforms or investment management setting. Proficiency in technical analysis platforms (Bloomberg Terminal) and quantitative tools (e.g., Python, R, MATLAB). Strong programming skills in Python, R, or similar languages for data analysis, backtesting, and automation of analytical processes. Background in fundamental analysis, with the ability to interpret financial statements and key valuation metrics for stocks. Experience in backtesting trading strategies and monitoring signal performance using statistical and quantitative methods. Sound communication skills.