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Passionate data scientist with a background in applied statistics and quant finance, specializing in machine learning and GenAI integration to improve model performance and explainability. In recent roles, I lead GenAI-driven automation and build NLP/ML and LLM-based pipelines (including RAG for explainability), leveraging Azure services and internal data platforms to deliver scalable document intelligence and risk analytics.…Passionate data scientist with a background in applied statistics and quant finance, specializing in machine learning and GenAI integration to improve model performance and explainability. In recent roles, I lead GenAI-driven automation and build NLP/ML and LLM-based pipelines (including RAG for explainability), leveraging Azure services and internal data platforms to deliver scalable document intelligence and risk analytics.

Daniele Raffo

Data Scientist, AI Engineer, Data Engineer

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Passionate data scientist with a background in applied statistics and quant finance, specializing in machine learning and GenAI integration to improve model performance and explainability. In recent roles, I lead GenAI-driven automation and build NLP/ML and LLM-based pipelines (including RAG for explainability), leveraging Azure services and internal data platforms to deliver scalable document intelligence and risk analytics.…Passionate data scientist with a background in applied statistics and quant finance, specializing in machine learning and GenAI integration to improve model performance and explainability. In recent roles, I lead GenAI-driven automation and build NLP/ML and LLM-based pipelines (including RAG for explainability), leveraging Azure services and internal data platforms to deliver scalable document intelligence and risk analytics.

Available to hire

Passionate data scientist with a background in applied statistics and quant finance, specializing in machine learning and GenAI integration to improve model performance and explainability.

In recent roles, I lead GenAI-driven automation and build NLP/ML and LLM-based pipelines (including RAG for explainability), leveraging Azure services and internal data platforms to deliver scalable document intelligence and risk analytics.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Intermediate

Intermediate

Beginner

Language

Italian

Fluent

English

Advanced

German

Beginner

Work Experience

Data Scientist / AI Engineer at UBS

August 1, 2025 - Present

Leading the automation of mandates and controls within the Business Risk Management team using GenAI, developing AI agents and workflows. Developing and maintaining NLP/ML models for detecting Sensitive Industries Affected Parties; successfully transitioned from keyword-based to LLM-based architectures using embeddings and RAG to improve performance and provide explainability. Built internal Python packages for document schema matching with LLMs and created data pipelines from internal IBM DB2. Engineered scalable document verification and information extraction solutions using Azure Document Intelligence, Azure Search, and Azure OpenAI, deployed with MLflow.

Quantitative Risk Specialist at UBS

December 1, 2022 - July 31, 2025

Developed and deployed Pillar II credit risk models on cloud infrastructure (Azure). Collaborated with Reporting and Validation stakeholders to deliver insights through rigorous analysis of results and model outputs.

Teaching assistant (Master-level Financial Derivatives) at University of Neuchâtel

March 1, 2022 - November 30, 2022

Conducted exercise sessions for Master-level Financial Derivatives; prepared teaching materials and evaluated exams.