Senior Insights & Analytics Leader - Banking Data

HSBC; Paris; Sur place; EUR 90 000 - 130 000; Plein temps

Résumé du poste

HSBC France is seeking an Assistant Director – Insights & Analytics to lead analytics initiatives within CIB Insights & Analytics. The role focuses on redesigning analytics, data architecture, and data flow to enable data-driven decision making across Wholesale banking.

You will develop and implement data pipelines, perform advanced analytics and modeling, and collaborate with stakeholders to drive value and risk insights. Strong Python/SQL, ML and cloud skills are required.

Qualifications

• University degree or higher in a quantitative field (C.S., Finance, Stats, Math).
• Solid experience with Python/SQL and ML techniques.
• Experience with cloud analytics (GCP/Azure/AWS) and big data (Hadoop/Spark).
• Strong data mining, data transformation and visualization skills.
• Excellent communication and collaboration with stakeholders across finance domain.

Responsabilités

• Re-design and rationalize Analytics, Technology, Architecture, and Data within CIB I&A.
• Develop data-driven solutions for bank-wide use cases in Wholesale.
• Build data pipelines (ETL), integrate external data sources, and enhance analytics capabilities.
• Create models for propensity scoring and risk mitigation; evaluate and iterate.
• Partner with stakeholders to define requirements and present insights.

Connaissances

Python

SQL

Machine learning

Cloud platforms

Hadoop

Spark

Qlik Sense

Data mining

Data visualization

Formation

University degree in Computer Science

Finance

Statistics

Mathematics

PhD preferred

Outils

Qlik Sense

Hadoop

Spark

Description du poste

HSBC France is seeking an Assistant Director – Insights & Analytics to lead analytics initiatives within CIB Insights & Analytics. The role focuses on redesigning analytics, data architecture, and data flow to enable data-driven decision making across Wholesale banking.

You will develop and implement data pipelines, perform advanced analytics and modeling, and collaborate with stakeholders to drive value and risk insights. Strong Python/SQL, ML and cloud skills are required.