Data Scientist Financial Risk Models

Prometeia is hiring a Data Scientist to support consulting projects in financial risk management for medium and large financial institutions. The work focuses on developing and implementing statistical and machine learning models for banking risks, using large datasets covering products such as checking accounts, loans and term deposits.

The role is based in Bologna and asks for a master’s degree in statistics, data science, mathematics or physics, strong statistical knowledge and Python proficiency. Familiarity with R and SQL is appreciated. Prometeia describes smart working as an organizational option, but the listing does not specify eligibility terms. The position also calls for analytical and problem-solving skills, effective work organization, teamwork and availability to travel in Italy and abroad.

Highlights

• Build statistical and machine learning models for banking risk.
• Analyze large datasets on banking products.
• Use Python, with R and SQL as useful additional tools.
• Join financial risk consulting projects at a Bologna-based firm.