Oliver Wyman - Data & Analytics - Senior Analyst - Italy

ph3Company: /h3 pOliver Wyman /p h3Description: /h3 pbWho We Are /bbr/Oliver Wyman is a global management consultancy working across all areas of industry, financial services, government, and non-profit organizations. Clients approach us with their most significant challenges, and we assemble teams of experts to address each facet of these complex issues. Together, we create breakthroughs that lead to remarkable impact. /p pWithin Oliver Wyman, the Data and Analytics (DNA) division was established in 2017 and is operating across the entire world, with a focus on Europe. We are a dynamic and rapidly growing team of quantitative analytics specialists, collaborating closely with colleagues across the firm to cover a global footprint, working across multiple industries including, but not limited to, Financial Services, Climate Sustainability, Energy, Retail, and Transportation. /p pWe believe in the power of diverse perspectives and collaborative teams to drive innovation. Our team comes from a wide range of backgrounds and experiences, and we embrace the unique skills and insights they bring to our work. At Oliver Wyman and within DNA, we are proud of the bvalues /b we uphold that guide us every day in how we work and collaborate. We are committed to fostering an inclusive environment where everyone can thrive and reach their full potential. /p pbWhat will you do /b /p pAs a member of Oliver Wyman’s Data Analytics team, you will collaborate with colleagues and clients at all levels from your very first day, helping clients solve their most pressing challenges. Our DNA team is committed to developing tailored solutions for clients around the globe, including designing potential solutions for analytical challenges, implementing various prototypes while also assessing their effectiveness, and engaging in discussions with clients and colleagues to share ideas. Your contributions will be invaluable to delivering impactful results for our clients. /p pNotable projects include: /p ul liDeveloping an NLP-based machine learning toolkit to predict credit rating downgrades using news articles – click here for more information /li liModelling portfolio decarbonization strategies leveraging advanced analytics techniques for large European banks /li liOptimizing and developing a promotional program using data from historical promotions for an Asian health beauty chain by deploying a promotion analytics toolkit /li liValidating a customer-facing GenAI chatbot for an American bank /li liDeveloping probability of default and loss models in Python for European and UK-based banks /li liIdentifying supply chain risks by combining multiple live data feeds, and developing and applying a bespoke AI based risk methodology – click here for more information /li liDeveloping a next best action model to reduce customer churn for a global telecom company /li /ul pbWhy Join Us? /b /p pExpect a steep learning curve, as no two projects are ever the same. You’ll have the opportunity to travel internationally, gaining invaluable experiences and insights across different cultures and with access to the latest technologies, you’ll constantly expand your toolkit with each new endeavor. /p pYou won’t be alone on this journey; various colleagues will guide and coach you throughout your career. You’ll have a dedicated buddy, a career adviser, and a talent manager to help you navigate your professional path. We also care deeply about sustainable work-life quality, providing you with the flexibility to balance your career aspirations with your personal life. /p pThis role will empower you to embrace your curiosity and step out of your comfort zone. You will have the opportunity to work alongside genuine colleagues who measure success by the lasting impact we create together. If you’re excited by challenges and eager to make a meaningful impact, we look forward to welcoming you aboard! /p pbWho Can Apply? /b /p ul liBachelor’s, Master’s, or PhD in a quantitative discipline from a top academic program (Data Science, Mathematics, Natural Sciences, Statistics, Computer Science, Engineering, etc.) /li liData-driven mindset and proficiency with numbers, paired with the ability to explain sophisticated data science concepts in an understandable manner to clients and colleagues /li liIdeally, programming skills in Python or R, but more importantly, an eagerness to continuously extend your knowledge of technologies /li liStrong commitment to teamwork and resilience in a creative and constantly changing environment /li liExcellent command of the English and Italian language (verbal and written) /li liInterest and experience in financial services and risk management is a plus /li liAt least 2 years of previous working experience in specialised consulting firms, top tier banking or financial institutions /li /ul pbWhat to expect during the interviews process? /b /p pAt Oliver Wyman, we want you to shine in your interview. Our process is designed like our work environment — it’s challenging, exciting, and fun. /p pWith a mix of conversational and case and technical interviews, our approach not only helps us to get to know you better, understanding your strengths and interests, but it also enables you to learn more about our people and our business. /p pIf you want to learn more about consulting interviews and start your preparation, please visit our careers page: /p pbCompensation Information /b /p pJob title: Senior Analyst (m/f/d) /p pLocation: Milan, Italy /p pContract type: Permanent contract (contratto a tempo indeterminato) /p pCCNL applied: CCNL Commercio (National Collective Bargaining Agreement of companies in the Services and Distribution Sectors) /p pLevel / Classification: Impiegato, Level 1 /p pbRemuneration /b /p pTotal compensation for this role includes base salary, annual discretionary performance bonus, and a market-leading benefits package described below. /p pThe expected base salary remuneration range for this position is between EUR 43.000 gross and EUR 52.000 gross per year (full-time equivalent). /p pThis amount is expressed as a full-time equivalent. The above base salary range has been determined on the basis of objective and gender-neutral criteria, in accordance with applicable law. Any final offer salaries may vary based on factors such as your unique blend of experience and skills, and our current organizational needs. /p pbVariable compensation and benefits /b /p pbVariable pay /b /p ul liAnnual discretionary bonus under the terms of the applicable Company Policy (variable remuneration linked to individual and company performance) /li /ul pbBenefits (company-paid and additional benefits) /b /p ul liSupplementary insurance package paid by the Company, including health, life, accident insurance and permanent disability coverage /li liCompany car or car allowance available for eligible roles under the Car Policy of Oliver Wyman Italia /li liSubscription to Wellhub paid by the Company /li liCorporate discounts: access to a range of partner discounts /li liEmployee Assistance Program (EAP): confidential psychological, legal, and financial support services /li liBonus for employee referral to fill an official vacancy /li liEmployee Share Purchase Plan /li liSeniority milestone paid leave /li /ul pWe will also grant any relevant economic provisions provided by theNational Collective Bargaining Agreementtosuccessfulcandidates. /p pOliver Wyman 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, visitoliverwyman.com, or follow us onLinkedInandX. /p pMarsh 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. /p pMarsh 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. /p /p #J-18808-Ljbffr