QUANT ANALYST

Société Générale GSC

Centre de services financiers et technologiques du groupe Societe Generale

CDI📍 Casablanca🔄 Hybride

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A propos de l'entreprise

Socciété Générale Global Solution Centre (SG GSC) Morocco incarne la nouvelle génération des centres d'excellence du Groupe Société Générale. Né du rapprochement de SG ABS et SG ATS, il rassemble des expertises métiers et technologiques au service de la transformation des activités bancaires à l'échelle internationale. Présent à Casablanca et à Abidjan, SG GSC Morocco accompagne les métiers du Groupe grâce à des compétences reconnues en finance, risques, crédit, audit, data, digital et technologies. Nos équipes contribuent à la conception et au déploiement de solutions innovantes qui soutiennent la performance, l'agilité et la compétitivité du Groupe. En nous rejoignant, vous évoluerez dans un environnement international, collaboratif et stimulant, où chaque talent est encouragé à apprendre, innover et grandir. Ensemble, nous construisons les solutions qui façonnent la banque de demain et créons un impact durable pour nos clients, nos métiers et nos collaborateurs. Notre ambition : faire de SG GSC Morocco un centre d'excellence de référence, reconnu pour ses talents, son innovation et sa contribution à la réussite du Groupe Société Générale.

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Vos missions

Missions

As an Algo Quant Analyst supporting Bernstein SG’s electronic execution activities, you will conduct quantitative research and analysis on individual orders, order sets, execution strategies and market structure. You will translate analytical findings into client-consulting materials, performance insights, research publications and practical improvements to TCA and order-monitoring capabilities. The role is expected to actively leverage and contribute to AI-powered workflows, automation initiatives and data-driven decision-support capabilities that enhance Bernstein SG’s execution platform and client experience.

Your main responsibilities will include:

· Conduct quantitative research on individual orders and sets of orders for client consulting and presentation.

· Analyse execution performance and provide intraday benchmark feedback using relevant metrics and market context.

· Research market structure topics and contribute to Whitebooks, Spotlights and analytical publications.

· Design quantitative research for new algorithmic execution strategies.

· Analyse existing strategies to support optimisation and fine-tuning.

· 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 using updated market conditions.

· Document methodologies, assumptions, outputs and controls.

· Comply with applicable risk, conduct, confidentiality and internal-control requirements.

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Profil recherche

· 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.

· Programming and data-analysis capability using Python, SQL or comparable approved technologies.

· Strong knowledge of data validation, back-testing principles, model assumptions and analytical controls.

· Ability to communicate complex findings clearly to technical and non-technical stakeholders.

AI & Automation Competencies
· Strong understanding of artificial intelligence and machine-learning concepts applicable to trading, market microstructure, forecasting and execution analytics.

· Ability to use AI-assisted tools to accelerate quantitative research, statistical analysis, feature exploration and insight generation.

· Experience evaluating AI-generated analytical outputs through quantitative testing, back-testing and statistical controls.

· Familiarity with predictive modelling, time-series analysis and AI-assisted forecasting approaches.

· Ability to integrate large structured and unstructured datasets into controlled AI-enabled analytical workflows.

· Experience with Python-based data-science and machine-learning ecosystems and model-performance assessment.

· Understanding of explainable AI, model validation, bias detection, data lineage and AI governance.

· Ability to translate emerging AI capabilities into practical use cases enhancing TCA, algo optimisation and client consulting.

Formation

Bac+5 / Master

Experience

3 a 5 ans

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Informations pratiques

Contrat

CDI

Lieu

Casablanca

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