Name: Advanced Statistical Modelling for Fintech, financial inclusion and inequality
Start: 2024-09-04T15:45:00+02:00
End: 2024-09-07T20:00:00+02:00
Location: Via Leopoldo Rodinò

The Second Edition of Advanced Statistical Modelling for Fintech, financial inclusion and inequality (AFFINE) training school is a three-day programme that equips participants with the required quantitative and analytical skills, including coding and programming skills, needed to perform analysis in the FinTech or financial services industry, especially analyses of complex data and latent traits such as knowledge of financial instruments and financial inclusion.

The School is designed for COST members, steakeholders, reasearchers, PhD students, and possibly brilliant MSc graduates / final-year students interested in Statistics, Probability, Computer Science, Applied Mathematics, and related areas.

*Content*
The aim of the Training School **AFFINE** is to establish a track of high level courses on advanced and cutting-edge topics in Statistics and Probability with application in FinTech and Artificial Intelligence area.
The programme syllabus will enable to understand, execute and possibly develop disruptive financial innovations using appropriate tools and techniques. It aims at acquiring analytical skills to create, manage and interrogate large data sets applicable to the finance sector and build up a critical awareness of current issues in the FinTech landscape. A range of programming tools will facilitate implementations of financial models and allow participants to analyse and evaluate decision making process and data.

*Detailed schedule*
**Face-to-face**; 4 days

*Wednesday, September 4, 2024*
*Welcome event*

* 14.45. **Introduction** of the course (**[Maria Iannario](https://www.docenti.unina.it/maria.iannario)**)
* 15.00 Seminar. **Digitalization and Financial Awareness: Designing and Running a Sample Survey -** Bank of Italy

*Thursday, September 5, 2023*

* 9.30. Morning. **[Methods for dimension reduction and clustering in Fintech surveys](https://www.labstat.it/download/bip24/bip24_dimension_reduction_clustering.pdf)**
* *Main topics: Clustering mixed type nominal/ordinal/interval data, Joint dimension reduction and clustering*
* Evening. **Laboratory lectures** – supervised tutorial, individual and teamwork
* **[Social activities](https://www.insolitaguida.it/en/)**

*Fiday, September 6, 2024*

* Morning. 9:30 **[Generalized Linear Models for rating data](chrome-extension://efaidnbmnnnibpcajpcglclefindmkaj/https://www.labstat.it/download/bip24/bip24_glm_rating.pdf)**
* *Main topic: Basic principles of categorical data, Binary data models, Polytomous data models*
* Morning. 11:00 **[Panel data for assessing Fintech, financial inclusion and income per capita](chrome-extension://efaidnbmnnnibpcajpcglclefindmkaj/https://www.labstat.it/download/bip24/bip24_paneldata.pdf)**
*Main topic: Multivariate Regression analysis, Multilevel models*
* Evening. **Laboratory Lectures** – supervised tutorial, individual and teamwork

*Saturday, September 7, 2024*

* Morning. 9:30 **[Applications of ML in Finance](chrome-extension://efaidnbmnnnibpcajpcglclefindmkaj/https://www.labstat.it/download/bip24/bip24_applicationsinfinance.pdf)**
**[Social activities](https://ercolano.beniculturali.it/)**

Maria Iannario

Zurich AI

Technology

Artificial Intelligence

Big Data

Data Analytics

Predictive Analytics

Financial Services

Finance

Machine Learning

Financial Technology

Data Science

Blockchain

Sustainability

Advanced Statistical Modelling for Fintech, financial inclusion and inequality

Via Leopoldo Rodinò

Share

Zurich AI

Advanced Statistical Modelling for Fintech, financial inclusion and inequality

Zurich AI

Details

Members are also interested in