Senior Data Portfolio Analyst — Hybrid, Automation & Insights

Ocupacao; Lisboa; Hybrid; EUR 42,000 - 65,000; Full time

Job summary

BNP Paribas is seeking a Data Analyst for Securitization and Insurance within its Data Solution and Modelling team (DSM) in Lisbon. You will support RPM by delivering data insight, automating processes, and maintaining critical data pipelines and documentation.

The role involves collaboration with local teams and Paris-based management on capital run activities. The ideal candidate has 5+ years in data analytics, strong Python/SQL skills, and English proficiency.

Qualifications

• Master’s degree in data science or related field.
• Excellent written and spoken English communications.
• Minimum 5 years in data analysis or automation.
• Interest in AI and efficiency improvements.
• Strong knowledge of SQL, Python, visualization and Git.
• Proficient Python including multithreading/multiprocessing concepts.
• Knowledge of securitization, credit risk, and related products.
• Familiarity with corporate banking and global markets.
• Ability to produce clear, synthetic reports.
• Organized, team-oriented and analytically minded.

Responsibilities

• Data feed setup and monitor data architecture, ensure ongoing operation and remediations.
• Automate and maintain RPM BAU tools; migrate SQL/Qlik components to Python ecosystem.
• Perform ad hoc analyses and respond to stakeholder queries.
• Maintain documentation and a living wiki for review processes and code.
• Coordinate with DSM and TM teams in Paris; advise on daily tasks and capital run activities.

Skills

Python

SQL

Data analysis

English proficiency

Git

Communication

Education

Master’s Degree in Data Science

Applied Maths

Tools

Qlik

Job description

BNP Paribas is seeking a Data Analyst for Securitization and Insurance within its Data Solution and Modelling team (DSM) in Lisbon. You will support RPM by delivering data insight, automating processes, and maintaining critical data pipelines and documentation.

The role involves collaboration with local teams and Paris-based management on capital run activities. The ideal candidate has 5+ years in data analytics, strong Python/SQL skills, and English proficiency.