The Mid Frequency Trading Team manages a fully automated system, trading a broad range of assets across global markets. The framework facilitates both live trading and historical backtesting and includes the data processing pipelines and research tools necessary for new alpha research. The codebase is predominantly in Python leveraging a number of industry standard libraries for data handling.
Required Skills:
- 3+ years of Python programming
- University degree in quantitative or related field such as mathematics, statistics, physics, computer science, or finance.
- Experience researching and trading strategies across Futures, Spot FX, Options OR Commodities.
- Strong proficiency in statistical analysis, probability theory, and time-series analysis.
- Familiarity with quantitative finance concepts, including market microstructure, portfolio optimization, and risk management.
- Previous experience in medium frequency trading preferred.
Responsibilities:
- Research new signals and implement them within their framework.
- Assisting the development team with the rollout of new or improved signals
- Oversight of rollout to ensure the research is thoroughly implemented.
- Analysis of strategies in production and diagnosing problems and/or suggesting improvements.
- Identify changes in market conditions when strategies underperform and research improvements.
- Identify new markets where diverse trading strategies can be deployed
- Working with the development team to ensure that data is of acceptable quality and stored appropriately.
- Provide guidance and mentorship of wider team on diverse trading strategies.
- Sydney Location
- PermanentJob Type
- Competitive salary