Alessandro Bitetto Email & Phone Number
@mckinsey.com
2 phones found area 334 and 346
LinkedIn matched
Who is Alessandro Bitetto? Overview
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Alessandro Bitetto is listed as Tenure Track Researcher at LIUC - Università Carlo Cattaneo, based in Milan, Lombardy, Italy. AeroLeads shows a work email signal at mckinsey.com, phone signal with area code 334, 346, and a matched LinkedIn profile for Alessandro Bitetto.
Alessandro Bitetto previously worked as Lecturer at Libera Università Vita-Salute San Raffaele and Assistant Professor in Statistics (RtdA) at Università Di Pavia. Alessandro Bitetto holds Master'S Degree, Applied Mathematics With Financial Support, 110/110 from Università Degli Studi Di Bari.
Email format at LIUC - Università Carlo Cattaneo
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AeroLeads found 1 current-domain work email signal for Alessandro Bitetto. Compare company email patterns before reaching out.
About Alessandro Bitetto
• 4 years work experience in deep Quantitative Analysis and Advanced Analytics, focused in:
Listed skills include Statistics, R, Econometrics, Esg, and 6 others.
Alessandro Bitetto's current company
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Alessandro Bitetto work experience
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Assistant Professor In Statistics (Rtda)
CurrentTeaching:- Machine Learning (BSc)- Data Science Methods (PhD)- Advanced Statistics (BSc)- Introduction to Python programming (BSc)Teaching Assistant:- Big Data Analysis (MSc)
Research Fellow
Phd, Computer Science
Instructor
CurrentInstructor of Coding in Python
Adjunct Professor
CurrentTeaching:- OFA (BSc)Laboratory:- From Data to Knowledge (MSc)
Associate Researcher
Research Fellow
Research Fellow
Industrial Phd Student
Analytics Specialist - Data Scientist
I worked in Risk Advanced Analytics, focusing on both Regulatory framework and Business-related process. My expertise led me to work on:- RWA optimization- PD forecast modelling- Full coverage of Stress Test process- End-to-end implementation of tools with Machine Learning techniques as: > Credit Scoring > Collection Performance Improvement >.
Senior Quantitative Developer
I worked as a senior resource for two big Italian insurance clients in the Solvency II pre-application process dealing with Validation of internal models. I was responsible of the following quantitative tasks:- full independent reperforming of economic models used for Market and Credit Risks, with additional and innovative validation analysis (such as.
Alessandro Bitetto education
Master'S Degree, Applied Mathematics With Financial Support, 110/110
Bachelor'S Degree, Mathematics, 103/110
Frequently asked questions about Alessandro Bitetto
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What company does Alessandro Bitetto work for?
Alessandro Bitetto works for LIUC - Università Carlo Cattaneo.
What is Alessandro Bitetto's role at LIUC - Università Carlo Cattaneo?
Alessandro Bitetto is listed as Tenure Track Researcher at LIUC - Università Carlo Cattaneo.
What is Alessandro Bitetto's email address?
AeroLeads has found 1 work email signal at @mckinsey.com for Alessandro Bitetto at LIUC - Università Carlo Cattaneo.
What is Alessandro Bitetto's phone number?
AeroLeads has found 2 phone signal(s) with area code 334, 346 for Alessandro Bitetto at LIUC - Università Carlo Cattaneo.
Where is Alessandro Bitetto based?
Alessandro Bitetto is based in Milan, Lombardy, Italy while working with LIUC - Università Carlo Cattaneo.
What companies has Alessandro Bitetto worked for?
Alessandro Bitetto has worked for Liuc - Università Carlo Cattaneo, Libera Università Vita-Salute San Raffaele, Università Di Pavia, Xaim Online Master Program (Explainable Artificial Intelligence In Healthcare Management), and Università Degli Studi Di Milano.
How can I contact Alessandro Bitetto?
You can use AeroLeads to view verified contact signals for Alessandro Bitetto at LIUC - Università Carlo Cattaneo, including work email, phone, and LinkedIn data when available.
What schools did Alessandro Bitetto attend?
Alessandro Bitetto holds Master'S Degree, Applied Mathematics With Financial Support, 110/110 from Università Degli Studi Di Bari.
What skills is Alessandro Bitetto known for?
Alessandro Bitetto is listed with skills including Statistics, R, Econometrics, Esg, Machine Learning, Finance, Credit Risk, and Market Risk.
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