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A major investment bank in London seeks an AVP-level QIS Trader for their Cross Asset Quantitative Investment Strategies team. The role involves designing and implementing systematic strategies while collaborating with Structuring teams to enhance trading and automation. A strong background in finance or a related STEM discipline, alongside Python skills, is essential for success in this position. This role is crucial for effective trade execution in a competitive marketplace.
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We are working with a top-tier investment bank in London that is seeking a driven and technically proficient QIS Trader at the AVP level to join their Cross Asset Quantitative Investment Strategies (QIS) team.
The team spans across Rates, Credit, FX, Commodities, and Equities, with this role focusing more on Cross Asset strategies and direct interaction with Structuring teams.
As a QIS Trader, you’ll contribute to the design, implementation, and execution of systematic strategies, working closely with Structurers to understand deal flows and trade automation opportunities. Your ability to bridge trading with quant development and structure-aware execution will be key.
What You’ll Bring: