Client Risk Management - Corporate Digital Development
UniCredit · Milan, Italy · 2mo ago
Mid levelOn-siteRisk & Compliance
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
•Academic background in quantitative fields such as computer science, data science, mathematics, statistics, quantitative finance or a related discipline
•Proven practical experience with databases (SQL) is necessary and knowledge of at least one programming language is a prerequisite (preferably Python, Typescript, C#)
•Experience with data visualization – including Business Intelligence software such as PowerBI
•Hands on experience in applying Artificial Intelligence and machine learning techniques (e.g. Large Language Models (LLMs), ChatCompletion, Vector Stores, Retrieval Augmented Generation (RAG), Agent frameworks, as well as classification, clustering, and predictive modeling using libraries such as scikit learn, pandas, TensorFlow or PyTorch)
•Interest in working within heterogeneous data and system landscape
•Strong analytical skills and ability to solve and structure complex tasks
•General understanding of risk management products offered to Corporate Clients, such as FX Forwards and Options, Commodity Swaps and Interest Rate Derivatives
•Relevant professional experience in the financial sector or banking, ideally with exposure to corporate clients or treasury products
•Fluent in English, good knowledge of German and/or Italian
•3-10 years of experience
•#BeAppreciated – You are a full-fledged team member from the very beginning and worth every single cent to us. That is why we reward your commitment and impact with an attractive remuneration
•#UnlockYourPotential – With us, you are guaranteed a steep learning curve. In your multifaceted work experience, you can supplement your theoretical knowledge from your studies with practical insights and thus find out where your passion lies.
•#JoinOurTeam – Our employees are the driving force behind our success and therefore our greatest asset. Because we are aware of our responsibility as an employer, we have once again been certified as Top Employer. Become part of our team!
•#LiveOurCulture – We don't just accomplish our work, but experience and shape it together. As a real team, we communicate at eye level #CallMeByMyFirstName, value every opinion and are convinced that success is based on people empowerment.
The salary range indicated reflects the expected range for the role. The final offer will be defined based your experience, skills, and level of responsibility.