My client are looking for:
Key Responsibilities:
- Research and develop systematic macro trading strategies across asset classes (FX, rates, equities, commodities).
- Analyse economic indicators, central bank policies, and geopolitical events to identify market inefficiencies.
- Develop predictive models using statistical, machine learning, and econometric techniques.
- Work with large datasets, applying quantitative techniques to extract tradable signals.
- Backtest and validate trading signals, ensuring robustness and scalability.
- Collaborate closely with portfolio managers, data scientists, and engineers to integrate research into live trading.
Requirements:
- Advanced degree (PhD or MSc) in a quantitative field such as Economics, Finance, Mathematics, Statistics, or Computer Science.
- Strong understanding of macroeconomics, global markets, and asset pricing.
- Expertise in time series analysis, statistical modelling, and machine learning.
- Proficiency in Python or another programming language for data analysis and model development.
- Experience working with financial data, alternative data sources, and large datasets.
- Prior experience in a hedge fund, asset management, or proprietary trading environment is a plus.
If there is any interest, please apply directly or reach out to harry.moore(at)selbyjennings.com.
