Senior Credit Risk Manager

Jobtailor; Paris; Sur place; EUR 55 000 - 75 000; Plein temps

Résumé du poste

Jobtailor is seeking a data-driven analyst to guide the B2C collections strategy in Paris. You will analyze customer data to steer actions, measure outcomes, and build recurring analytical reports. The role involves proposing strategic directions to improve collection rates and supporting Finance in decision-making.

You will leverage SQL and Python to perform rigorous analyses, develop clear dashboards, and present syntheses in concise slides for cross-functional teams.

Qualifications

• Strong background in data analysis and data-driven performance management.
• Excellent SQL and Python skills.
• Knowledge of collections and credit topics.
• Rigorous and proactive in improving reporting.
• Ability to manage projects involving multiple teams.
• Comfortable with data visualization tools.
• Able to synthesize analyses clearly in a few slides.

Responsabilités

• Guide the B2C collections strategy based on analysis of our customer data.
• Measure the impact of existing actions.
• Build analytical reports.
• Propose strategic directions to improve collection rates.
• Support the Finance teams in their decision-making.

Connaissances

SQL

Python

Data analysis

Reporting

Project management

Data visualization

Synthesis & slides

Collections knowledge

Outils

SQL tooling

Description du poste

Responsibilities

• Guide the B2C collections strategy based on analysis of our customer data
• Measure the impact of existing actions
• Build analytical reports
• Propose strategic directions to improve collection rates
• Support the Finance teams in their decision-making

Qualifications

• Strong background in data analysis and data-driven performance management
• Excellent SQL and Python skills
• Knowledge of collections and credit topics
• Rigorous and proactive in improving reporting
• Ability to manage projects involving multiple teams
• Comfortable with data visualization tools
• Able to synthesize analyses clearly in a few slides