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Salary
≈ $46k – $92k per year (Estimated)
Location
In office (Milan)

Confirmed on the employer's own hiring board on Oct 19, 2026. First seen by Alion on Oct 9, 2026.

Overview
Company
Impact
Profile match
UniCredit is a pan-European commercial banking group headquartered in Milan, Italy, serving retail, private, corporate and institutional clients, and unicredit.it is the website of its Italian retail bank. The group, listed on the Milan stock exchange, operates major banks in Germany through HypoVereinsbank, in Austria through Bank Austria and across Central and Eastern Europe, including Romania, Hungary, Serbia and Bulgaria. Its careers board lists client advisers, wealth advisers, branch service staff, interns and working students in corporate banking, cash management and trade finance, mainly in Munich, Vienna, Milan and Bucharest.

As a product manager in our Corporate Digital Development Team, covering the Data & AI initiatives, you will apply analytical, technical, and creative problem solving skills to strengthen Corporate Treasury Sales. You will contribute directly to the digital transformation of one of the bank’s most client facing businesses, taking ownership across the full stack development of a core data analytics application. This includes designing and maintaining Python based ETL pipelines, managing Oracle databases, and developing both frontend components in Angular and backend services in C#.

1. Data Analytics & Insights Generation

  • Analyze client transaction data, exposures, financial behavior, and hedging patterns
  • Identify client opportunities using statistical models and analytical frameworks
  • Translate insights into actionable recommendations for Corporate Treasury Sales specialists

2. Artificial Intelligence & Advanced Analytics

  • Support the design and implementation of AI models that detect patterns in corporate client risk profiles, as well as deepen analysis of client exposure and hedging portfolios
  • Assist in developing early warning indicators, propensity to hedge models, and personalized product suggestions
  • Collaborate with teams exploring machine learning use cases across UniCredit, including dynamic pricing models

3. Data & Opportunity Visualization

  • Use business intelligence tools (Power BI, Python dashboards, Angular based front-ends) to create intuitive visualizations
  • Build interactive dashboards highlighting KPIs, market trends and client opportunities
  • Help convert complex data and market dynamics into simple, client ready pitches
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