Bulge Bracket Investment Banks

Posted 13 days ago

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**Client Associate:** Research, enhance, and exploit agency execution algorithms for equities. **Responsibilities** include algorithmic trading, market microstructure, and execution strategy studies, quantitative analysis of execution performance, large-scale data analysis, and collaborating with stakeholders. **Skills required** span Python, R, SQL, Corwin, Bloomberg, quantitative analysis, and data interpretation. **Experience:** Proven track record in algorithmic trading, market microstructure, or relevant fields.

Compensation: Not specified
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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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