COMPANY:

Marsh Risk

DESCRIPTION:

We are seeking a talented individual to join our Risk Advanced Technology team
at Risk Consulting through our Professional Graduate Programme. This role will
be based in Rome for a hybrid role.

Risk Consulting is a management consulting firm that provides risk management
services as part of Marsh Risk, a leader in insurance brokerage and head of the
international Marsh Group, a group of expertise in strategic and management
consulting, reinsurance, human capital, and investments (Oliver Wyman, Guy
Carpenter, Mercer).

The Risk Advanced Technology practice develops innovative risk management
services using advanced technologies (Artificial Intelligence, Machine Learning,
Process Mining, and Business Intelligence) to support leading public and
private organizations.

We will count on you to:

* Support the application of Machine Learning and AI techniques to analyze risk
phenomena across heterogeneous domains (e.g., financial risk, operational
risk), detect anomalies/fraud, reduce processing times, and contribute to




simplifying business processes with a view to intelligent automation.

* Contribute to the development of quantitative and financial models, also in
the Credit Risk area (e.g., PD, LGD, EAD, Pricing, stress testing, ECL), with
the support of more senior professionals and in line with leading market best
practices.

* Perform data analysis, dynamic reporting, risk monitoring dashboards, and
early warning systems using Business Intelligence and Advanced Analytics
tools.

* Support clients in developing and evolving risk management frameworks and
digital transformation processes.

* Collaborate in the development of new solutions and methodologies (e.g.,
Generative AI applied to risk management, explainable ML models, process
automation, advanced analytics).

* Take part in the various project phases: requirements gathering, functional
analysis, modeling, implementation, testing, and go-live support.

* Prepare deliverable

📌 Consultant - AI & Advanced Technology (Roma)
🏢 Marsh Mclennan
📍 Roma