KIT Career ServiceEvents
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Case Study with OliverWyman - Female Career

FEMALE CAREER

How to detect fraud - Challenges in transaction monitoring

Event time and location: The event will start on November 13, 2025 at 14:00. It will take place in online format. You will receive the link upon registration.

The workshop is aimed specifically at female studentswho can imagine a career as a data analyst in a dynamic environment. The Oliver Wyman Data & Analytics team will provide you with practical knowledge from the strategy consulting and financial sector.

Our interactive workshop "How to detect fraud" focuses on the fascinating world of financial data. You will experience how crucial the analysis of transaction data is for the detection of anomalies in today's banking landscape. Given the enormous amounts of data that are processed on a daily basis, the use of machine learning is essential to recognize patterns, thereby identifying suspicious transactions and analyzing them in greater depth.

Workshop focus:
- Methods for analyzing transaction data and detecting suspicious accounts
- Using modern algorithms to increase efficiency in monitoring
- Current challenges and trends in the financial services sector
- Practical approaches to data analysis and problem solving

Oliver Wyman, a Marsh McLennan company, advises clients worldwide on risk, strategy and operations, combining deep industry expertise with specialized analytics.

Event date: 13.11.2025 14:00 - 18:00

Language: Deutsch

Format: Online

Registration period: 29.09.2025 - 13.11.2025

Contact: lisa-marie.claus@kit.edu

Available places: 28 / 35
Fully booked