Fraud Detection in financial institutions: Prevention and management

The detection of anomalies (also called detection of toolkits) is a task of machine learning which consists in detecting in the data, the instances (individuals) having a behavior different (unusual) from the other instances of the base called normal. In the case of fraud detection for example, any very strange spending by credit card is suspicious.
The variations are so numerous and the examples of training so rare, that it is not possible to know what a fraudulent activity or an incident looks like.
SEE ALL COURSES

Preconditions

General knowledge of information systems

Date / Place

  • June 21, 2020 at 9:00 AM
  • The exporter’s house (CEPEX), Tunis, Tunisia

Program

  • Overview of problems & types of supervised and unsupervised learning for the detection of anomalies
  • Main Anomaly Detection Learning Models and Algorithms
  • Practice on datasets with scikit-learn (http://scikit-learn.org/) under Python on case studies from the banking sector.
  • Build a fraud detection model in banking transactions
  • Implementation of an empirical study using supervised learning algorithms for churn prediction and for automatic bank credit approval.

Goals

  • Detect anomalies by learning what normal activity looks like (using a history of supposedly non-fraudulent transactions) and identifying anything very different.
  • Supervised and other unsupervised approaches to fraud detection
  • Experimentation with solutions to respond to various problems related to the detection of anomalies with the Python language, in the banking and financial fields.

Participants

  • Company managers,
  • Managers,
  • Directors and managers of information systems departments,
  • Financial companies

Ready to start?

Register and book your pass

Reservation ends in

Day(s)

:

Hour(s)

:

Minute(s)

:

Second(s)

Join us and be part of the great ICT event in Africa alongside decision makers and prime contractors from Tunisia, Africa and elsewhere. Come Share your experiences and participate in exchanges to contribute to the development of South-South collaboration links.

Info. Contact

Tel: 216 71 975 035 / 71 975 054
Fax: +216 71 975 352
e-mail: contact@siticafrica.com
Adress: Kram Exhibition Center

Exhibition Commissioner

Ms Nada Ziadi

B2B

M. Chaker Mansouri

e-mail: mchaker@tunisie-afrique-export.com
Tel : +216 22 988 089

Forums

Ms Nada Ziadi