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Contact Info

SKILLS

Competencies

▪ Credit Processes & Credit Framework in Banking
▪ Data Analysis & Data Modelling
▪ Data Visualization & Dashboarding(Power BI, Shiny, Dash)
▪ Risk framework: Basel II

Scripting

Languages

▪ Italian: Mother tongue
▪ English: Porfessional Proficiency
▪ French: Basic knowledge

Disclaimer

This resume was made with the R package pagedown.

Last updated on 2025-01-19.

Main

Alessandro Fregosi

Motivated analytics expert candidate with knowledge in Risk & Credit Modeling field. Quick learner, eager to expand my knowledge and deliver added value.

Professional Experience

Risk Analysis and Modelling Specialist - Credit Risk and Managerial Models Internal Validation

Intesa SanPaolo SpA

Milano, Italy

Sep 2023 - Today

  • Coordination of a strategic automatization project for the overall Internal Validation activities by means of data science tools and best practices. Design and support activities involving the definition of the technological stack (Python, Git, DVC, Markdown, etc..) and the porting of annual ongoing reports from the as-is to full automation. Supporting the capability building of colleagues.
  • Support the activities of internal model validation on models developed for regulatory purpose (ECB-EBA regulated) and managerial purpose, either in ongoing validation activities and in initial models adoption.

Techonology Consultant - Data Scientist

Accenture SpA - A>RACE (Accenture Risk Analytics Center of Excellence)

Milano, Italy

Jun 2021 - Sep 2023

  • NPL Evolved Collection: in SAS Enterprise Guide, stack of statistical models to assess probability of collection plan decay and algorithm to resolve NPV calculation and find the optimal instalment to reach the desired economic level of operations.
  • Machine Learning DQ: Implementation of a dashboard in R Shiny that with an Isolation Forest performs agnostic data quality on database tables;
  • Credit Risk Models: Implementation of EAD Model; Re-estimate of PD classes for an Italian Subsidiary of a Large European Group.
  • Data Driven Credit Collection: development of unsupervised learning models for improving regularization performance on outstanding credit positions and algos to determine best collection strategy (through NPV optimization).
  • Suppliers Reputation: development of predictive algorithms aimed to intercept warnings about the increasing risk of third parties reputational risk through insights extracted from data collected on the web and processed by means of NLP techniques and sentiment analysis.
  • Early Warning: refactoring of existing model with the addition of ad-hoc modules to capture the impact of Covid pandemic on counterparty credit risk.

Technology Consulting Analyst

Accenture SpA - A>RACE (Accenture Risk Analytics Center of Excellence)

Milano, Italy

Oct 2019 - Jun 2021

Data Scientist

Borsadelcredito.it (Opyn)

Milano, Italy

Nov 2017 - Set 2019

  • Data Scientist for a leading company in the P2P marketplace lending and in the Italian fintech environment;
  • Created and presented models for credit scoring and lenders behavior;
  • Provided analytic tools and reports and helped in maintaining the daily data accounting controls;
  • Manage the R company repository.

CERTIFICATIONS

● RAI Certificate Holder – Global Association of Risk Professionals - 2025
Licence:0035d00006SxNi3AAF
● Google Cloud Digital Leader – 2022 Licence:64904136
● AWS Certified Cloud Practitioner – 2020
● Quantitative Analyst with R – DataCamp - 2019
Licence: eca0e2e2a0fda48b144074bccffe0aa5bb5ad806
● Data Analyst with Python – DataCamp – 2020
Licence: eca0e2e2a0fda48b144074bccffe0aa5bb5ad806
● English TOEFL (iBT) Certification – 2017
Score: 104/120

Intern

Intesa Sanpaolo Corporate & Investment Banking

Milano, Italy

May 2017 - Oct 2017

  • Credit lines management for large Corporations;
  • Risk evaluation for assessing creditworthiness;
  • Management lines of trust;
  • Supporting manager in offering financial products.

Tutoring Activities

University of Pavia

Pavia, Italy

2015

Help Desk Part-Time Job

University of Pavia

Pavia, Italy

2014

Education

University of Pavia

Master’s Degree in Economics, Finance and International Integration

Pavia, Italy

2015 - 2017

Thesis: Fintech big data analysis: an application to P2P lending

  • Probability and Stochastic Process
  • Financial Risk Management
  • Credit Markets, Probabilities and Spreads
  • Quantitative Finance
  • Financial Econometrics

University of Pavia

Bachelor’s Degree in Economics Science

Pavia, Italy

2011 - 2014

Liceo Scientifico Statale G.Galilei

Scientific High School Diploma

Voghera, Italy

2006 - 2011

Activites

Certified wine passionate - WSET Level 2 Award in Wine


Milano

Vice President of my little home village Pro Loco.


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