Milan-Based Credit & Risk Data Optimization Analyst

Fedrigoni Group; Milano; In loco; EUR 45.000 - 65.000; Tempo pieno

Descrizione del lavoro

Fedrigoni Group in Milan is seeking a Group Credit & Risk Reporting Analyst to focus on reporting and analytics for credit and risk management across the Paper and Self-Adhesives units. Based in Milan, you will deliver accurate risk reports, support governance meetings, and ensure data integrity in all risk-related reporting.

You will collaborate with credit risk, finance and business teams, drive data-driven insights, and contribute to automation and improvements of reporting frameworks to

Competenze

• Bachelor’s degree in finance, economics, mathematics or data science.
• 4–5 years in credit/risk reporting in financial services or insurance.
• Fluent in English and Italian; strong Excel/data skills.

Mansioni

• Deliver accurate, timely reports on credit risk exposures and key risk metrics.
• Analyze data and provide insights for risk committee meetings.
• Ensure regulatory compliance and internal risk standards.
• Enhance transparency, driving informed decision-making and risk mitigation.
• Support regulatory submissions related to credit risk and capital adequacy.
• Liaise between reporting teams and risk management to align priorities.
• Work with credit risk, finance and business units to ensure data integrity.
• Develop and maintain reporting frameworks and automate where possible.

Conoscenze

Credit risk

Reporting

Regulatory

Power BI

SQL/Python

Excel

English/Italian

Formazione

Finance degree

Economics

Strumenti

Power BI

SQL

Python

Descrizione del lavoro

Fedrigoni Group in Milan is seeking a Group Credit & Risk Reporting Analyst to focus on reporting and analytics for credit and risk management across the Paper and Self-Adhesives units. Based in Milan, you will deliver accurate risk reports, support governance meetings, and ensure data integrity in all risk-related reporting.

You will collaborate with credit risk, finance and business teams, drive data-driven insights, and contribute to automation and improvements of reporting frameworks to