Senior Consultant - Quantitative Risk Consulting
Risk Consulting is looking for candidate to join our Risk Advanced Technology team as Senior Consultant 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 count on you to:
Apply advanced Machine Learning and AI techniques to predict phenomena under analysis across heterogeneous risk areas (e.g., 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 (e.g., 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 applied to risk management, explainable ML models, process mining, etc.)
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
What you need to have:
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 proven expertise in the following areas:
Technical skills (vertical) in one or more of the following areas:
Data analysis and modeling using Business Intelligence tools (e.g., Power BI, Dataverse)
Machine Learning / AI: development of supervised and unsupervised models (classification, regression, clustering, anomaly detection), advanced algorithms (XGBoost, LightGBM, Random Forest, Neural Networks), implementation of Explainable AI techniques to communicate results to stakeholders
Credit Risk Modeling: PD/LGD/EAD, stress testing, Expected Credit Loss (IFRS 9)
Development in Python (e.g., pandas, openpyxl, scikit-learn, XGBoost/LightGBM, shap, etc.) and use of APIs for automation
Power Platform (Power BI, Power Apps, Power Automate) for building applications and dashboards
Data Management and Databases: advanced SQL (complex queries, optimization, stored procedures), knowledge of relational databases (SQL Server, PostgreSQL)
Management skills (horizontal):
Analysis of business and functional requirements: drafting technical and functional specifications, business cases, project documentation, managing client expectations and change management, ability to present results to C-level and non-technical stakeholders clearly and effectively
Risk management (e.g., mapping and assessing risks, both qualitative and quantitative; process analysis and mapping; three lines of defense model; Model Risk Management; Financial Risk Management)
What makes you stand out:
Experience in delivering end-to-end solutions combining Machine Learning modeling, LLMs, and code-based solutions (e.g., Python) and/or low-code solutions (e.g., Power Platform)
Knowledge of the most widely used risk management frameworks (e.g., ISO 31000, CoSO Framework)
Knowledge of quantitative models in credit risk modeling (e.g., Merton, CreditMetrics, etc.) and the related banking framework (e.g., Basel framework, CRR, EBA Guidelines/RTS, IFRS 9, etc.)
Knowledge of advanced Data Visualization tools (Power BI, DAX, Qlik) and Data Management tools (e.g., Azure, SQL, SAS)
Knowledge of Generative AI applied to risk management (e.g., synthetic data generation, stress scenario generation, narrative explainability)
Knowledge of cloud platforms: Azure (Data Factory, Synapse, Databricks) or AWS
Relevant certifications (e.g., FRM, CRISC, Python for Data Science, Microsoft Certified: Power Platform, etc.)
Why join our team:
An international, cross-business network with leaders in Strategy, Risk, and People professional services
The opportunity to design and apply innovative risk solutions in practice for use by the Italian Public Administration (e.g., central government bodies and public-owned companies) and the private sector
What we offer:
The position is offered on a permanent basis.
We propose a gross annual salary starting from € 32.000 for a full-time position. Depending on experience, skills and qualifications, we are willing to consider compensation above the starting salary. Variable remuneration may be granted in accordance with company policy. Further details will be shared during the selection process or directly in the employment contract.
The National Collective Bargaining Agreement (NCBA) applied is "Terziario, Distribuzione e Servizi”.
The contractual level, together with the applicable terms and conditions, will be determined in line with the experience and professional profile of the candidate selected through the recruitment process.Attractive benefits offered, including insurance coverages, supplementary pension plan, facultative health assistance, meal vouchers, flexible benefits, optional stock purchase plan, smart working policy, learning programs and well-being initiatives. Further details will be shared during the selection process or directly in the employment contract.
Skills Required
- Master's degree or higher in Management, Engineering, Computer Science, Statistics, Financial Mathematics or related STEM discipline
- Proven experience in consulting projects
- Development and deployment of Machine Learning and AI models (supervised, unsupervised, anomaly detection) and Explainable AI techniques
- Credit Risk Modeling experience (PD, LGD, EAD, stress testing, Expected Credit Loss / IFRS 9)
- Proficiency in Python and related libraries (pandas, openpyxl, scikit-learn, XGBoost/LightGBM, shap) and use of APIs for automation
- Experience with Business Intelligence tools and building dashboards (Power BI, Dataverse)
- Experience with Power Platform (Power BI, Power Apps, Power Automate) and low-code solutions
- Advanced SQL skills (complex queries, optimization, stored procedures) and knowledge of relational databases (SQL Server, PostgreSQL)
- Ability to draft technical and functional specifications, business cases, manage client expectations and present to C-level stakeholders
- Experience in risk management practices (risk mapping, model risk management, three lines of defense, financial risk management)
- Ability to manage full project lifecycle, mentor junior resources, and ensure high-quality deliverables
- Experience with Business Intelligence/Advanced Analytics solution design and risk monitoring/early warning systems
- Fluency in English and ability to work hybrid onsite in Rome (office presence required part-time)
- Experience delivering end-to-end solutions combining ML/LLMs and code/low-code (e.g., Python and Power Platform)
- Knowledge of risk management frameworks (ISO 31000, COSO) and quantitative credit models (Merton, CreditMetrics)
- Experience with advanced visualization and data management tools (DAX, Qlik, Azure, SAS)
- Knowledge or experience with Generative AI applied to risk management and synthetic data/stress scenario generation
- Knowledge of cloud platforms (Azure Data Factory, Synapse, Databricks) or AWS
- Relevant certifications (FRM, CRISC, Python for Data Science, Microsoft Certified: Power Platform)
Marsh McLennan Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Marsh McLennan and has not been reviewed or approved by Marsh McLennan.
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Leave & Time Off Breadth — Leave offerings are described as generous, including sizable PTO, paid holidays, paid sick days, and additional time off such as paid volunteer time and “Summer days.” These time-off benefits are portrayed as a standout part of the overall rewards package.
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Healthcare Strength — Healthcare coverage is characterized as comprehensive, spanning medical, dental, and vision options, with additional supports like disability and life insurance and access to mental health resources and an EAP. The breadth of plan options is positioned as a core strength of the benefits package.
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Retirement Support — Retirement benefits are framed as solid, with 401(k) programs and employer matching frequently highlighted alongside other financial programs. Stock purchase options are also referenced as an additional wealth-building component of the total rewards mix.
Marsh McLennan Insights
What We Do
Marsh McLennan (NYSE: MMC) brings together nearly 78,000 experts in risk, strategy, and people across Marsh, Guy Carpenter, Mercer, and Oliver Wyman, serving clients in over 130 countries. Marsh enables enterprise worldwide by helping clients manage risks, transforming uncertainty into opportunity. Guy Carpenter helps clients grow profitably with reinsurance broking expertise, advisory services, and advanced analytics. Mercer helps organizations advance the health, wealth, and careers of their most vital asset — their people. Oliver Wyman’s expertise in strategy, operations, risk, and organization transformation changes what is possible for our clients, their industries, and society. Together, we combine a unique range of capabilities to help our clients solve problems, seize opportunities, and build lasting success in increasingly complex operating environments.









