Bulge Bracket Investment Banks

Posted 13 days ago

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**Internship: Quantitative Analysis in Algorithmic Trading** Contribute to research, development, and enhancement of agency execution algorithms and intelligence. Key responsibilities: - Quantitatively analyze execution performance, identify improvement opportunities across diverse market conditions. - Research market microstructure, order book dynamics, and trading behavior to drive algorithm design and strategy evolution. - Analyze large datasets to uncover patterns, evaluate execution quality, and generate actionable insights. - Collaborate with regional and global stakeholders, translating research into practical enhancements and customization. - Investigate client trading behavior and benchmarks, supporting quantitative studies and platform improvements. - Assist with client and internal research requests, providing evidence-based analysis and insights. - Minimum: Familiarity with programming, data analysis, and financial markets. Desired: strong academic background in quantitative or related fields.

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Are you interested in algorithmic trading, market microstructure, and execution strategy research? Do you enjoy using data and quantitative analysis to improve trading outcomes? We're looking for someone who can: Contribute to the research, development, and enhancement of agency execution algorithms and execution intelligence for the equities business. Conduct quantitative analysis of execution performance across different market conditions, identifying opportunities to improve algorithm behaviour and client outcomes. Research market microstructure, order book dynamics, and trading behaviour to develop insights that support algorithm design and strategy evolution. Analyse large-scale trading and market data sets to uncover patterns, evaluate execution quality, and generate actionable recommendations. Collaborate with regional and global stakeholders across Trading, Product, and Technology to translate research findings into practical enhancements, platform development and execution strategy. Investigate client trading behaviour and execution characteristics to identify opportunities for improved performance, segmentation, and customization. Support the evaluation of existing and new execution methodologies, benchmarks, and trading logic across a range of market environments. Contribute to quantitative studies supporting algorithm enhancements and platform improvements, including: o Assessing the impact of proposed changes on execution behaviour and performance. o Providing data-driven input into design decisions and prioritization. o Developing analytical frameworks to monitor and evaluate outcomes after implementation. Assist with client and internal research requests, helping provide evidence-based analysis and insight into algorithm performance and market behaviour.

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