Investment Data Modeler

20 ott - Milano
Generali

Location: Milano, Trieste

Within the Group Head Office - Global Investment Management (GIM) Function, we are looking for an Investment Data Modeler, to join the Investment Reporting and Data team, supporting the data modelling activities of the group data warehouse.

Key responsibilities of the role will include:
• Taking care of the design and evolution of the investment data model across all domains
• Defining data structures for instruments, portfolios, positions, pricing and performance
• Driving consistency of data definition across reporting, risk and accounting
• Translating complex investment processes into scalable data models
• Supporting strategic transformation programs in data initiatives
• Acting as key bridge between investment Office, IT and Data teams
• Defining modelling standards and best practices
• Leading workshops with senior stakeholders.

Requirements
• Master’s degree in Economics, Finance, Engineering, Management, Computer Science or a related quantitative field.




• At least 5 years of experience in investment data domains in a multinational insurance company, asset managers or bank
• Understanding of financial instruments and referential data
• Strong knowledge of investments concepts: portfolios, positions, transactions, main risk measures
• Deep knowledge of data modelling on investment data
• Advanced skills in Excel and PowerPoint;
• Clear knowledge of business intelligence models and strong SQL language. Any experience with programming language (e.g. SAS, Python, R) is a plus.
• Fluent in English; knowledge of any other languages is a plus.

Soft Skills:
• Excellent communication skills, both written and verbal, with the ability to synthesize complex information into clear and actionable messages.
• Proactive and problem-solving mindset, able to anticipate issues, propose solutions and drive follow-up actions.
• Team-oriented attitude with strong interpersonal skills and the ability to collaborate across diverse teams (IT, Data, Inve

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