Cross Asset QIS Trader

JR United Kingdom; London; On-site; GBP 70,000 - 120,000; Full time

Job summary

A leading investment bank in London is seeking a driven QIS Trader at the AVP level to join their Cross Asset Quantitative Investment Strategies team. This role focuses on developing and executing systematic strategies while collaborating with Structuring teams. Ideal candidates will have a strong academic background in STEM, Economics, or Finance, along with Python proficiency and a solid understanding of financial markets.

Qualifications

• Strong academic background in a STEM discipline, Economics, or Finance.
• Solid understanding of financial markets, especially cross-asset products.
• Python proficiency for strategy development, automation, and risk tools.

Responsibilities

• Contribute to the design, implementation, and execution of systematic strategies.
• Work closely with Structurers to understand deal flows and trade automation opportunities.
• Bridge trading with quant development and structure-aware execution.

Skills

Python proficiency

Understanding of financial markets

Collaborative mindset

Strong communication skills

Education

Strong academic background in STEM discipline

Economics

Finance

Job description

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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:

• Strong academic background in a STEM discipline, Economics, or Finance
• Solid understanding of financial markets, especially cross-asset products
• Python proficiency for strategy development, automation, and risk tools
• A collaborative mindset and strong communication skills to work across trading and structuring