Senior Consultant

Vedi l’offerta su Go Lavoro: golavoro.it/annuncio-lavoro/7gf1ev

Questa posizione è in Marsh McLennan Company
Marsh Risk
Role Senior Consultant - AI & Advanced Technology
Location Rome (Hybrid role)
Responsibilities
- Apply advanced Machine Learning and AI techniques to predict phenomena across heterogeneous risk areas (financial risk, operational risk), detect fraud/anomalies, reduce processing times, and simplify business processes with a focus on intelligent automation.
- Design, develop, and validate financial models, particularly in Credit Risk (PD, LGD, EAD, Pricing, stress testing, ECL), in line with market best practices and major relevant guidelines and regulations (Basel framework, EBA Guidelines/RTS, IFRS 9, CRR).
- Build Business Intelligence and Advanced Analytics solutions for dynamic reporting, risk monitoring dashboards, and early warning systems.
- Support clients in developing integrated risk management frameworks and in the digital transformation of risk management processes.
- Contribute to the development of new proprietary solutions and methodologies within the practice (Generative AI, explainable ML models, process mining).




- Manage the full project lifecycle: from requirements gathering and analysis, to modeling and implementation, through to go‑live and client staff training.
- Mentor and coordinate junior resources within projects, ensuring knowledge transfer and high‑quality deliverables.
- Interact with clients and all stakeholders involved in the projects, presenting results and strategic recommendations clearly and effectively.

Qualifications
- Master’s degree or higher in Management, Industrial Engineering, Computer Science, Statistics, Financial Mathematics, or related STEM disciplines, with excellent academic results.
- Proven experience in consulting projects with expertise in the following areas:
- Technical skills :
- Data analysis and modeling using Business Intelligence tools (e.G., Power BI, Dataverse).
- Machine Learning / AI: development of supervised and unsupervised models, advanced alg

Vedi l’offerta su Go Lavoro: golavoro.it/annuncio-lavoro/7gf1ev