01 ago
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Marsh Mclennan
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Lazio
01 ago
Marsh Mclennan
Lazio
Questa posizione è in Marsh McLennan Il processo di selezione sarà interamente gestito Marsh McLennan.
-- Company: Marsh Risk Description: Senior Consultant - AI 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 *****, 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 ****** 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, lavoro da remoto policy, learning programs and well-being initiatives.
Further details will be shared during the selection process or directly in the employment contract.
Marsh Risk is a business of Marsh (NYSE: MRSH), a global leader in risk, reinsurance and capital, people and investments, and management consulting, advising clients in 130 countries.
With annual revenue of over $27 billion and more than 95,000 colleagues, Marsh helps build the confidence to thrive through the power of perspective.
For more information about Marsh Risk, visit marsh.com, or follow us on LinkedIn and X. 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.
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📌 Senior Consultant - Ai & Advanced Technology (Lazio)
🏢 Marsh Mclennan
📍 Lazio