Risk Consultant - Strategy & Analytics (m/w/d) at Marsh McLennan | BE, DE | Rezi

Risk Consultant - Strategy & Analytics (m/w/d) at Marsh McLennan

Risk Consultant - Strategy & Analytics (m/w/d)

Marsh McLennan · BE, DE

1 months ago

Risk Consultant - Strategy & Analytics (m/w/d)

Marsh McLennan · BE, DE

a month ago
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About the Role

Marsh Analytics is a specialized unit within Marsh that advises companies on defining and implementing risk-bearing and risk-financing strategies. We support clients with analytics-based risk understanding, actuarial assessment of insurable risks, quantification of natural hazard risks, and the identification and evaluation of climate change-related opportunities and risks.

Responsibilities

  • Planning and implementation of customer projects in the areas of risk financing and risk-bearing strategies using actuarial methods and tools.
  • Customer consulting on complex actuarial, empirical-based, and statistical analyses using analytical approaches and tools.
  • Performing actuarial calculations, natural catastrophe modeling, quantification of business interruption risks, and conducting customer presentations.
  • Further development and utilization of modeling approaches for the implementation of new, market-leading, analytics-based tools for understanding and managing risks.
  • Coaching team members in providing analytics-based tools and analyses, as well as in presenting results.
  • Supporting and training colleagues in the application and interpretation of analytical approaches for gaining insights.
  • Captive management and actuarial support of captives.
  • Representing and presenting the aforementioned subject areas at customer events, conferences, etc.
  • Internal expert and advocate for Data Science and/or Actuarial Science within Marsh and MMC.

Requirements

  • Master's degree in Actuarial Science, Business Mathematics, Economics with a quantitative focus, Data Science, or a related field.
  • Sound knowledge in statistical modeling and implementation of actuarial methods.
  • Knowledge of modern programming languages such as Python.
  • Ideally: experience in insurance regulatory affairs, certified actuary (e.g., DAV, SOA).
  • Ability to face difficult and sometimes complex problems.
  • Ability to develop customer-oriented solutions for internal and external customers and discuss them with customers to support decision-making.
  • Strong attention to detail, excellent communication, and interpersonal skills.
  • Very good German and English skills; other European languages are welcome.

Skills

  • Statistical modeling
  • Actuarial methods
  • Python
  • Data Science
  • Actuarial Science

Location

  • Germany

Work Type

  • Mobile work from home, office, or on the go
  • Hybrid work

Education Level

  • Master's degree

Benefits

  • Secure, permanent employment
  • Employer-funded company pension plan
  • Capital-forming benefits
  • 24/7 group accident insurance
  • Discounted conditions for various insurances
  • Company bike
  • Extensive discount portal
  • Flexible working hours
  • 30 days of vacation + additional days off on Christmas Eve and New Year's Eve
  • Half a day of individual time off
  • Mobile working
  • Regular get-togethers and team events

About the Company

  • Marsh (NYSE: MRSH) is a global leader in risk, reinsurance and capital, human resources and investments, and management consulting, advising clients in 130 countries.
  • With annual revenues exceeding $27 billion and over 95,000 employees, Marsh builds confidence in a successful future through a strong perspective.
  • We live an inclusive culture that values the diverse backgrounds, ideas, and perspectives of our employees and clients, and create a flexible work environment.
  • We aim to attract and retain the best talent.

Equal Opportunity

  • We encourage people of all ages, social or ethnic origins, nationalities, beliefs or worldviews, physical or mental abilities, sexual orientations, genders, gender identities, or gender expressions to join us.
  • Marsh offers hybrid work models that combine the flexibility of mobile work with the benefits of in-office collaboration, personal connections, and professional development.