Descrizione dell'offerta
Risk Consulting is looking for a 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 the head of the international Marsh Group.
Responsibilities
Apply advanced Machine Learning and AI techniques to predict phenomena under analysis across heterogeneous risk areas, 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. 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.
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 (classification, regression, clustering, anomaly detection), advanced algorithms (XGBoost, LightGBM, Random Forest, Neural Networks), implementation of Explainable AI techniques. Credit Risk Modeling: PD/LGD/EAD, stress testing, Expected Credit Loss (IFRS 9). Development in Python (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
Analysis of business and functional requirements: drafting technical and functional specifications, business cases, project documentation, managing client expectations and change management. Communication of results to C-level and non-technical stakeholders. Risk management (mapping and assessing risks, 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 and the related banking framework. Knowledge of advanced Data Visualization tools (Power BI, DAX, Qlik) and Data Management tools (Azure, SQL, SAS). Knowledge of Generative AI applied to risk management. Knowledge of cloud platforms: Azure or AWS. Relevant certifications (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 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. 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.
EEO & Diversity Statement Marsh is committed to creating a diverse, inclusive and flexible work environment. We aim to attract and retain the best people and embrace diversity of age, background, disability, ethnic origin, family duties, gender orientation or expression, marital status, nationality, parental status, personal or social status, political affiliation, race, religion and beliefs, sex/gender, sexual orientation or expression, skin color, or any other characteristic protected by applicable law. Marsh is committed to hybrid work, which includes the flexibility of working remotely and the collaboration, connections and professional development benefits of working together in the office. All Marsh colleagues are expected to be in their local office or working onsite with clients at least three days per week. Office-based teams will identify at least one "anchor day" per week on which their full team will be together in person. R_356038 #J-18808-Ljbffr
Apply advanced Machine Learning and AI techniques to predict phenomena under analysis across heterogeneous risk areas, 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. 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.
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 (classification, regression, clustering, anomaly detection), advanced algorithms (XGBoost, LightGBM, Random Forest, Neural Networks), implementation of Explainable AI techniques. Credit Risk Modeling: PD/LGD/EAD, stress testing, Expected Credit Loss (IFRS 9). Development in Python (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
Analysis of business and functional requirements: drafting technical and functional specifications, business cases, project documentation, managing client expectations and change management. Communication of results to C-level and non-technical stakeholders. Risk management (mapping and assessing risks, 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 and the related banking framework. Knowledge of advanced Data Visualization tools (Power BI, DAX, Qlik) and Data Management tools (Azure, SQL, SAS). Knowledge of Generative AI applied to risk management. Knowledge of cloud platforms: Azure or AWS. Relevant certifications (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 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. 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.
EEO & Diversity Statement Marsh is committed to creating a diverse, inclusive and flexible work environment. We aim to attract and retain the best people and embrace diversity of age, background, disability, ethnic origin, family duties, gender orientation or expression, marital status, nationality, parental status, personal or social status, political affiliation, race, religion and beliefs, sex/gender, sexual orientation or expression, skin color, or any other characteristic protected by applicable law. Marsh is committed to hybrid work, which includes the flexibility of working remotely and the collaboration, connections and professional development benefits of working together in the office. All Marsh colleagues are expected to be in their local office or working onsite with clients at least three days per week. Office-based teams will identify at least one "anchor day" per week on which their full team will be together in person. R_356038 #J-18808-Ljbffr
Candidatura e Ritorno (in fondo)
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