Event-Driven Strategist

2 days ago


Singapore SKYDOG WEALTH MANAGEMENT COMPANY PTE. LTD. Full time
Roles & Responsibilities

Job Summary:

An Event-Driven Strategist is responsible for identifying, analyzing, and capitalizing on market-moving events such as macroeconomic events, earnings announcements, index rebalancing, and mergers & acquisitions (M&A). The role involves designing and implementing investment strategies that leverage event-driven opportunities while managing associated risks.

Key Responsibilities:

1. Event Monitoring & Analysis

  • Track and analyze macroeconomic events (e.g., interest rate changes, inflation reports, fiscal policies, central bank decisions).
  • Monitor corporate earnings events, including earnings surprises, guidance revisions, and analyst upgrades/downgrades.
  • Assess the impact of index rebalancing events (e.g., S&P 500, MSCI, FTSE, Russell) on stock prices and liquidity.
  • Evaluate M&A activity, including deal structures, arbitrage opportunities, regulatory hurdles, and market sentiment.
  • Analyze corporate actions such as buybacks, spin-offs, secondary offerings, and special dividends.

2. Strategy Development & Execution

  • Develop quantitative models to forecast market reactions to macroeconomic data releases and corporate events.
  • Identify arbitrage opportunities in merger deals and index inclusion/exclusion scenarios.
  • Design event-driven trading strategies such as merger arbitrage, earnings momentum, and macro-event hedging.
  • Optimize portfolio allocations based on upcoming corporate events and economic catalysts.
  • Work with traders, portfolio managers, and risk teams to implement trade ideas.

3. Risk Management & Scenario Analysis

  • Conduct stress tests and scenario analysis to assess the impact of event-driven trades on portfolio risk.
  • Monitor volatility spikes and hedge against downside risks associated with macroeconomic shocks.
  • Evaluate liquidity risks related to index rebalancing and earnings-driven price movements.

4. Data & Technology Utilization

  • Use alternative data sources (e.g., satellite imagery, social sentiment, web traffic) to enhance event-driven insights.
  • Leverage machine learning models for predictive analytics in macroeconomic and corporate event forecasting.
  • Utilize financial databases and market intelligence tools (Bloomberg, FactSet, Refinitiv, Python, SQL, R) for research and execution.

Required Skills & Qualifications:

Technical & Analytical Skills:

  • Strong knowledge of macroeconomics, corporate finance, and financial markets.
  • Experience with event-driven investment strategies, such as merger arbitrage, earnings momentum, and macro-event trading.
  • Proficiency in quantitative modelling, statistical analysis, and machine learning techniques.
  • Hands-on experience with data analytics tools (Python, R, SQL, JS in Excel).
  • Ability to work with market intelligence platforms (Bloomberg, FactSet, Refinitiv, Capital IQ).

Education & Experience:

  • Bachelor's or Master's degree in Finance, Economics, Statistics, Computer Science, or related fields.
  • 5-7 years of experience in hedge funds, investment banking, asset management, proprietary trading, or macro research.
  • Previous experience in quantitative finance, risk management, or trading strategy roles is a plus.

Preferred Qualifications (Nice to Have):

CFA, FRM, or CAIA certification
Experience with high-frequency trading (HFT) or algorithmic trading
Familiarity with big data analytics and alternative data processing
Knowledge of options trading and volatility-based strategies

Hands-on experience integrating LLM (Large Language Model) APIs for financial data analysis, sentiment analysis, and market forecasting

Tell employers what skills you have

Machine Learning
Investment Strategies
Announcements
Strategy Development
Analytical Skills
Algorithmic Trading
Corporate Actions
Big Data Analytics
Risk Management
Economics
Strategy
Quantitative Finance
Python
Arbitrage
Acquisitions
Data Analytics
Corporate Finance

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