Quantitative Execution Trader

Location: Zurich, Switzerland (relocation support available)

Experience: 5+ years

Our client, a leading quantitative hedge fund based in Switzerland, is seeking a Systematic Execution & Operational Trader to join its team. This is a high-impact role at the intersection of trading, technology, and operations, combining hand‑on execution responsibilities with ownership of critical post‑trade processes.

You will partner closely with Portfolio Managers, Quantitative Researchers, and Engineering teams to deliver efficient, transparent, and scalable execution across systematic strategies. The role also plays a key part in ensuring operational robustness across the full trade lifecycle, particularly within cleared derivatives.

• Execute and oversee systematic trading strategies across multiple asset classes, with a strong focus on cleared derivatives (futures, options, swaps).
• Manage the end-to-end execution process—from order generation through to completion—optimizing for best execution, minimal slippage, and accuracy.
• Collaborate with Quant and Technology teams to enhance execution algorithms, order routing logic, and automation frameworks.
• Take ownership of trade lifecycle management, including trade capture, allocation, reconciliation, and settlement processes.
• Monitor and manage margin, collateral, and risk workflows associated with derivatives portfolios.
• Support post-trade functions including P&L reconciliation, performance analysis, and reporting.
• Act as a key point of contact between Front Office, Middle/Back Office, and external counter parties (brokers, clearing firms, administrators).
• Identify and drive opportunities for automation and continuous improvement across trading and operational workflows.

• 5+ years of experience in systematic or quantitative trading, with direct front‑office execution experience in cleared derivatives (futures, options, swaps) is essential
  .
• Strong understanding of derivatives markets, systematic trading workflows, and full trade lifecycle processes.
• Experience working with CTA, multi‑asset, or systematic investment strategies.
• Proficiency in Python
  , with the ability to analyze trading data, build tooling, and contribute to automation and execution improvements.
• Familiarity with Execution Management Systems (EMS), Order Management Systems (OMS), and post‑trade infrastructure.
• Demonstrated ability to operate across trading, operations, and technology functions in a collaborative environment.
• Highly detail‑oriented, proactive, and comfortable in a fast‑paced, data‑driven setting.
• Strong communication skills with the ability to work effectively across teams and stakeholders.
• EU/Swiss work eligibility preferred; relocation support available for exceptional candidates.