Macro Research Analyst
IMC TradingAbout the Role
As a Macro Analyst at IMC in Amsterdam, you will build the quantitative tools and analysis behind the team's macro research.
- Build and own Python tools and data workflows for macro research, scenario analysis and backtesting;
- Maintain a structured record of event scenarios, their underlying assumptions and subsequent outcomes;
- Backtest research ideas, signals and models, using statistical analysis to assess performance;
- Develop quantitative analysis for macro-event scenarios, translating results into inputs for the European equity index volatility curve;
- Understand the desk's exposure to covered events and score your own calls against actual outcomes;
- Contribute to event coverage during European trading hours and relevant out-of-hours futures sessions.
As you demonstrate an edge through your work, there is scope to develop into position taking and longer-horizon research.
Responsibilities
- Build and own Python tools and data workflows for macro research, scenario analysis and backtesting
- Maintain a structured record of event scenarios, their underlying assumptions and subsequent outcomes, making the research available for testing and review
- Backtest research ideas, signals and models, using statistical analysis to assess their performance and identify areas for improvement
- Develop and update quantitative analysis for macro-event scenarios, working with traders and senior analysts to translate the results into inputs for the volatility curve
- Understand the desk’s exposure to the events you cover, including whether it is long or short an event, and use that context when discussing the implications of your analysis
- Score your own calls against actual outcomes and use the findings to improve the tools, models and scenario analysis you contribute
- Contribute to event coverage during European trading hours and relevant out-of-hours futures sessions
Requirements
- 2–4 years of experience in quantitative research or a trading-focused analytical role, ideally within a macro hedge fund pod or at a competing trading firm
- Hands-on Python skills, with experience preparing and analyzing data and applying statistics to research questions
- Experience building analytical tools and backtesting research ideas; having built signals or models used in live trading is an advantage
- Good understanding of macroeconomic drivers and equity index markets, including familiarity with options and volatility
- A disciplined approach to recording assumptions and evaluating results, with the ability to connect your analysis to trading exposure and refine your views through evidence and feedback