Quant Analyst - Electronic Execution

About the role

Société Générale's Global Solution Centre (SG GSC) Morocco is hiring a Quant Analyst to support Bernstein SG's electronic execution activities. The analyst conducts quantitative research on individual orders, order sets, execution strategies and market structure, turns findings into client-facing materials and performance insights, and contributes to AI-powered workflows and automation that improve the execution platform and client experience.

Key responsibilities

• Conduct quantitative research on individual orders and order sets for client consulting and presentations.
• Analyse execution performance and give intraday benchmark feedback using metrics and market context.
• Research market structure topics and contribute to Whitebooks, Spotlights and analytical publications.
• Design quantitative research for new algorithmic execution strategies and analyse existing ones to support optimisation.
• Develop analytical tools and systems for transaction-cost analysis and order monitoring.
• Assess implementation shortfall and analyse VWAP/TWAP slippage, including market-impact and timing components.
• Support on-demand mid-order reforecasting with updated market conditions.
• Document methodologies, assumptions, outputs and controls, and comply with risk, conduct, confidentiality and internal-control requirements.

Required profile

• Strong quantitative background in mathematics, statistics, econometrics, financial engineering, computer science or a related discipline.
• Good understanding of equity market microstructure, electronic trading and algorithmic execution.
• Experience analysing execution benchmarks, transaction costs, liquidity and market-impact drivers.
• Ability to communicate complex findings to technical and non-technical stakeholders.
• AI competencies: understanding of AI and machine learning in trading and execution analytics, ability to evaluate AI-generated outputs through back-testing and statistical controls, and familiarity with explainable AI, model validation and AI governance.

Required skills

• Programming and data analysis with Python, SQL or comparable approved technologies.
• Data validation, back-testing principles, model assumptions and analytical controls.