{
  "job_id": "OzjaF1o94xG4ZuJWAAAAAA==",
  "job_city": "Berlin",
  "job_state": null,
  "job_title": "Oliver Wyman - Data & Analytics Consulting - Analyst (mfd) - Berlin",
  "job_salary": null,
  "job_country": "DE",
  "job_benefits": null,
  "job_latitude": 52.520006599999995,
  "job_location": "Berlin",
  "job_onet_soc": "43911100",
  "apply_options": [
    {
      "is_direct": false,
      "publisher": "Bandana.com",
      "apply_link": "https://bandana.com/jobs/f64d4420-fee2-4a10-8d8b-032b48b7ab76?utm_campaign=google_jobs_apply&utm_source=google_jobs_apply&utm_medium=organic"
    },
    {
      "is_direct": null,
      "publisher": "Bandana.com",
      "apply_link": "https://bandana.com/jobs/f64d4420-fee2-4a10-8d8b-032b48b7ab76"
    }
  ],
  "employer_logo": "https://encrypted-tbn0.gstatic.com/images?q=tbn:ANd9GcSMLMWT8xpu9UvmmiQr6eaxlh7n5BA7DCwZuOEz&s=0",
  "employer_name": "Marsh - Workday 2",
  "job_is_remote": false,
  "job_longitude": 13.404954,
  "job_posted_at": "vor 16 Tagen",
  "job_publisher": "Bandana.com",
  "job_apply_link": "https://bandana.com/jobs/f64d4420-fee2-4a10-8d8b-032b48b7ab76?utm_campaign=google_jobs_apply&utm_source=google_jobs_apply&utm_medium=organic",
  "job_highlights": {},
  "job_max_salary": null,
  "job_min_salary": null,
  "job_description": "## Company: Oliver Wyman\n\nOliver Wyman is a global management consultancy working across industry, financial services, government, and non-profit organizations. We assemble teams of experts to tackle complex challenges and create breakthroughs that produce measurable impact. Within the firm, the Data and Analytics (DNA) division was established in 2017 and operates globally with a strong focus on Europe. Our team is a rapidly growing group of quantitative analytics specialists working across multiple industries including, but not limited to, Financial Services, Climate & Sustainability, Energy, Retail, and Transportation. We value diverse perspectives and collaborative teams, and we are committed to fostering an inclusive environment where everyone can thrive.\n\n### What you would do with us\n\nAs a member of Oliver Wyman’s Data & Analytics team you will collaborate with colleagues and clients at all levels from day one. You will help clients solve pressing business problems by designing analytical solutions, implementing prototypes and assessing their effectiveness, and engaging in discussions to share ideas with clients and colleagues. Your work will contribute directly to delivering impactful results.\n\nSome notable projects the team has worked on include:\n\n- Developing an NLP-based machine learning toolkit to predict credit rating downgrades using news articles – click here for more information\n\n- Modelling portfolio decarbonization strategies leveraging advanced analytics techniques for large European banks\n\n- Optimizing and developing a promotional program using data from historical promotions for an Asian health & beauty chain by deploying a promotion analytics toolkit\n\n- Validating a customer-facing Gen. AI chatbot for an American bank\n\n- Developing probability of default and loss models in Python for European and UK-based banks\n\n- Identifying supply chain risks by combining multiple live data feeds, and developing and applying a bespoke AI based risk methodology – click here for more information\n\n- Developing a next best action model to reduce customer churn for a global telecom company\n\nYou should expect a steep learning curve; no two projects are the same. There will be opportunities to travel internationally and to expand your toolkit with exposure to the latest technologies. You will not be on your own: colleagues will guide and coach you, and you will have a dedicated buddy, a career adviser, and a talent manager to help you navigate your career. We care about sustainable work-life quality and provide flexibility to balance career and personal life. Teams may adopt hybrid working arrangements and, if needed, schedule weekly “anchor days” when the entire team meets in person at the site office.\n\n### Who can apply\n\nWe welcome applicants with a Bachelor's, Master's, or Ph. D in a quantitative discipline from a top academic program (Data Science, Mathematics, Natural Sciences, Statistics, Computer Science, Engineering, etc.). You should have a data-driven mindset and proficiency with numbers, plus the ability to explain sophisticated data science concepts in an understandable manner to clients and colleagues. Ideally you have programming skills in Python or R, but more important is an eagerness to continuously extend your knowledge of technologies. A strong commitment to teamwork and resilience in a creative and constantly changing environment is important. Excellent command of German & English (verbal and written) is required. Interest and experience in financial services and risk management is a plus.\n\nPlease submit your CV, cover letter and transcripts when applying.\n\n### Interview process and additional context\n\nOur interview process mixes conversational and case interviews so we can learn about your strengths and interests while you get to know our people and work. For interview preparation, see: https://www.oliverwyman.com/careers/entry-level/interview-preparation.html\n\nOliver Wyman is a business of Marsh Mc. Lennan (NYSE: MMC), a global leader in risk, strategy and people advising clients in 130 countries across four businesses: Marsh, Guy Carpenter, Mercer and Oliver Wyman. Marsh Mc. Lennan has annual revenue of $24 billion and more than 90,000 colleagues. For more information, visit oliverwyman.com, or follow us on Linked. In and X.\n\nMarsh is committed to creating a diverse, inclusive and flexible work environment and aims to attract and retain the best people, embracing diversity across many characteristics protected by applicable law. Marsh offers hybrid working arrangements that provide both the flexibility of mobile working and the benefits of collaboration, personal connections and professional development of working in the office. Employees are authorized to work remotely.",
  "job_google_link": "https://www.google.com/search?q=jobs&gl=de&hl=de&udm=8#vhid=vt%3D20/docid%3DOzjaF1o94xG4ZuJWAAAAAA%3D%3D&vssid=jobs-detail-viewer",
  "employer_website": null,
  "job_onet_job_zone": "4",
  "job_salary_period": null,
  "job_apply_is_direct": false,
  "job_employment_type": "Vollzeit",
  "job_employment_types": [
    "FULLTIME"
  ],
  "job_posted_at_timestamp": 1772668800,
  "job_posted_at_datetime_utc": "2026-03-05T00:00:00.000Z"
}