About the Role
This position involves evaluating trading activities, interpreting financial data, and providing actionable analysis to improve trading strategies and operational efficiency.
Responsibilities
- Monitor and assess trading performance across multiple instruments
- Develop models to identify patterns in market behavior
- Generate reports summarizing trading outcomes and key metrics
- Collaborate with trading teams to refine execution strategies
- Validate data accuracy from various trading platforms
- Track risk exposure and flag anomalies in trading activity
- Support backtesting of trading algorithms using historical data
- Analyze latency and execution quality across venues
- Provide insights on market structure changes and their impact
- Evaluate the effectiveness of order routing decisions
- Maintain databases of trading metrics and performance indicators
- Assist in the development of real-time monitoring tools
- Identify opportunities for process automation in reporting
- Conduct post-trade analysis to assess slippage and impact
- Work with compliance to ensure data integrity standards
- Translate complex data findings into clear summaries
- Participate in improving data collection methodologies
- Assist in stress-testing trading systems under volatility
- Monitor regulatory reporting requirements related to trading
- Support integration of new data sources into analytics pipelines
- Evaluate counterparty performance in execution quality
- Track and report on fill rates and rejection patterns
- Analyze time-of-day trends in trading behavior
- Contribute to incident reviews following trading anomalies
- Help prioritize analytics initiatives based on business impact
Compensation
Competitive salary with performance-based incentives
Work Arrangement
Hybrid schedule with core hours during trading days
Team
Collaborative group focused on data-driven trading improvements
Technology Stack
- Uses Python for data analysis and automation
- Relies on SQL for database queries and reporting
- Works with cloud platforms for scalable data storage
- Employs Jupyter notebooks for exploratory analysis
- Integrates with real-time data pipelines
Growth Opportunities
- Access to professional development resources
- Opportunities to lead analytics projects
- Exposure to algorithmic trading strategies
- Mentorship from senior quantitative analysts
- Pathways to specialize in trading research
Available for qualified candidates
