Algorithmic Quant Analyst – Electronic Execution & AI

Casablanca, Casablanca-Settat

Publié il y a moins de 6 jours

Décryptage du poste par Postule AI

Résumé du rôle

Algo Quant Analyst role at Société Générale's Global Solution Centre Morocco, supporting Bernstein SG's electronic execution platform. Conduct quantitative research on trading strategies, execution performance and market microstructure. Develop analytical tools for transaction-cost analysis and order monitoring. Strong emphasis on AI/ML integration, data science and automation. Requires quantitative background (mathematics, statistics, financial engineering or CS), Python/SQL programming, market microstructure knowledge and ability to communicate complex findings to diverse stakeholders.

Exigences clés (estimation)

Conduct quantitative research on orders and execution strategies for client consulting and analytical publications
Analyse execution performance, benchmark feedback and VWAP/TWAP slippage with market-impact assessment
Design and optimise algorithmic execution strategies through quantitative research
Develop analytical tools and systems for transaction-cost analysis and order monitoring
Contribute to research publications on market structure and support mid-order reforecasting
Document methodologies and ensure compliance with risk, conduct and internal-control requirements

Compétences

Quantitative analysis and statistical modellingPython and SQL programming for data analysisEquity market microstructure and electronic trading knowledgeTransaction-cost analysis and execution benchmarkingMachine learning and AI-assisted analytical toolsBack-testing and model validationTechnical and non-technical communication

Niveau estimé

Mid-level position requiring 3–5 years of quantitative research, financial analysis or data science experience. Should demonstrate solid understanding of market microstructure and execution analytics, with proven ability to develop analytical tools and contribute to research initiatives.

Attributs détectés par l’IA (si absents de l’offre)

Type de poste: Permanent contract
Mode de travail: Sur siteConfiance 70%
Niveau d'expérience: 3–5 ansConfiance 60%
Fonction: Data / BIConfiance 90%
Secteur: Services financiersConfiance 95%
Niveau d'études: Licence / Bac+3Confiance 75%
Langues: AnglaisConfiance 85%

Cette analyse a été générée automatiquement par Postule AI à partir de l'offre.

Role Overview

As an Algo Quant Analyst supporting Bernstein SG's electronic execution activities, you will conduct quantitative research and analysis on individual orders, execution strategies and market structure. You will translate analytical findings into client-consulting materials, performance insights and practical improvements to transaction-cost analysis (TCA) and order-monitoring capabilities, leveraging AI-powered workflows and automation initiatives.

Main Responsibilities

Conduct quantitative research on individual orders and order sets for client consulting and analytical publications
Analyse execution performance, provide intraday benchmark feedback and assess VWAP/TWAP slippage with market-impact analysis
Design and optimise quantitative research for new algorithmic execution strategies
Develop analytical tools and systems for transaction-cost analysis, order monitoring and mid-order reforecasting
Contribute to research publications (Whitebooks, Spotlights) on market structure topics
Document methodologies, assumptions, outputs and controls; ensure compliance with risk and internal-control requirements

Required Profile

Strong quantitative background in mathematics, statistics, econometrics, financial engineering or computer science
Good understanding of equity market microstructure, electronic trading and algorithmic execution
Experience analysing execution benchmarks, transaction costs, liquidity and market-impact drivers
Programming capability in Python, SQL or comparable technologies
Strong knowledge of data validation, back-testing principles and analytical controls
Ability to communicate complex findings to technical and non-technical stakeholders

AI & Automation Competencies

Strong understanding of AI and machine-learning concepts applicable to trading and execution analytics
Ability to use AI-assisted tools for quantitative research, statistical analysis and insight generation
Experience evaluating AI-generated outputs through quantitative testing and back-testing
Familiarity with predictive modelling, time-series analysis and AI-assisted forecasting
Experience with Python-based data-science and machine-learning ecosystems
Understanding of explainable AI, model validation, bias detection and AI governance

About the Organisation

Société Générale Global Solution Centre Morocco (SG GSC Morocco) is a subsidiary of the Société Générale Group, providing operational, business and technology expertise. Bernstein SG is a joint venture between AllianceBernstein and Société Générale, combining independent equity research with cash equity execution services for institutional clients globally. The successful candidate will be employed by SG GSC Morocco and fully dedicated to supporting Bernstein SG.

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