Data & Analytics Specialist at UBS Switzerland (Zurich), since April 2019.

• Leader of a 3-person Data Science & Analytics team serving Global Family Offices and Institutional Clients.

• Full-cycle development of a web application for monitoring AML, KYC, Credit and ESG risks, including business requirements, data sourcing, coding, testing, deployment, and stakeholder management.

• Application of machine learning models for early risk detection in transactions.

• Automation of internal processes and report preparation for operational risk management, resulting in over 150 man-days saved annually and significant improvements in output quality.

• Execution of comprehensive AML/KYC reviews in collaboration with client advisors and compliance officers, extending beyond data analytics.

Senior consultant at EY Switzerland (Zurich), from June 2017 until March 2019, in Assurance | Forensic & Integrity Services | Forensic Technology.

• Leader of data analytics teams (2 to 4 people) in several client engagements to perform analysis on structured and unstructured data.

• Industry focus: financial services (bank & insurance).

• Application of advanced analytics and visualization techniques to data extracted from databases, financial platforms and other unstructured sources.

• Definition of strategies and presentation of results to clients, internal and external auditors, lawyers and regulatory authorities in sensitive situations.

• Additional activities: research on new blockchain and crypto-currency-related solutions; recruiting; support & maintenance of computing platform.

Technologies used: MS SQL, R/R Studio, IBM DB2, Python, igraph package, MS Excel, VBA, PowerPoint, Tableau. 

Client adviser and data analytics specialist at EDGE Strategy, in Zug (Switzerland), from July 2016 to April 2017. EDGE is the leading global assessment methodology and business certification standard for gender equality.

◆ Development of models to detect and quantify possible gender pay gaps in organizations.

◆ Projections of time-evolving indicators for gender balance in organizations, through agent-based models (from methodological design to actual code implementation).

◆ Full-cycle implementation of VBA-based tools aimed at (a) automating and streamlining data analysis processes and (b) helping customers identify gender-related risks through their data.

◆ Support in pre-sales.

Technologies used: R, Visual Basic for Applications, Excel, Powerpoint.

After completing my Ph.D. program at the Chair of Systems Design, ETH Zurich (Switzerland), I worked there as post-doctoral researcher from March 2015 to May 2016. During my appointment, I authored and co-ordinated the research project "Performance and Resilience of Collaboration Networks".

◆ The goal of the project was to quantify performance and reduce systemic risk in real-world economic networks.

◆ The project made extensive use of data mining, statistics, agent-based models and complex network techniques.

◆ The project was evaluated and funded by the Risk Center of the ETH Zurich.

Technologies used: R, C, Python, Java, SQL, LaTeX.

Right after my Master studies in Milan, I worked as an intern at Accenture Italy, from September 2010 to January 2011. The project to which I was assigned was in collaboration with a large Italian utility and aimed at outlining a Smart City vision. During the project I

◆ developed models to asses the most efficient mix of green technologies.

◆ developed business plans on extended use of such technologies in three sample cities.

◆ computed concrete targets in terms of reduction of CO2 emissions and energy consumption.

◆ assisted writing the position paper for the European Commission.

Technologies used: Visual Basic for Applications, Excel, Powerpoint.