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- Aufgaben: Dive into risk measurement and management, analyzing processes with data analytics and AI.
- Arbeitgeber: Join Oliver Wyman, a leading actuarial consulting firm in the German-speaking world.
- Mitarbeitervorteile: Enjoy flexible working options, attractive pay, and training opportunities as an actuary.
- Warum dieser Job: Work on exciting projects with a young, motivated team and a steep learning curve.
- Gewünschte Qualifikationen: Bring your degree in Mathematics, Informatics, or Physics and a passion for quantitative challenges.
- Andere Informationen: Customer contact from day one and collaboration on national and international projects.
Das voraussichtliche Gehalt liegt zwischen 43200 - 72000 € pro Jahr.
Company: Oliver Wyman
What you can expect from us:
- Everything you need to know about risk measurement and risk management: We help our customers to assess and understand their risks.
- Analysis and optimization of processes in risk management and actuarial services with the integration of data analytics and AI.
- Modelling of cash flow projection models: valuation of insurance portfolios in the context of Solvency II, MCEV, IFRS17 and M&A transactions.
- Actuarial input on strategic issues: from the development of next-generation insurance products to the optimization of portfolios.
What we offer you:
- Become part of one of the largest actuarial consulting teams in the German-speaking world and at the same time a European team.
- Customer contact from day one and collaboration on national and international projects.
- Steep learning curve and diverse development opportunities.
- Attractive remuneration above the market average.
- A young, motivated team and flexible working opportunities that fit your individual life circumstances.
- Promotion of training as an actuary (DAV) and other further training courses.
What you bring with you:
- Enthusiasm for exciting questions and challenging topics in a quantitative environment.
- Ability to work in a team and a quick grasp of things.
- Degree in (Business) Mathematics, (Business) Informatics or Physics.
- A Senior Consultant should bring several years of work experience in relevant fields as a consultant or member of an actuarial or risk management team in an insurance company.
- Good knowledge of language / writing in German and English.
- Ideally knowledge of financial mathematics, actuarial mathematics, statistics or data science.
- Ideally, knowledge of programming languages, such as Python, C#, C++, Java, VBA, or statistical software such as SAS or R.
- Initiative and reliability as well as excellent communication skills.
Do you feel interested?
Then we look forward to receiving your application at:
#J-18808-Ljbffr
Oliver Wyman - Actuarial Consultant (m/f/d) - Dusseldorf or Munich Arbeitgeber: Marsh & McLennan Companies
Kontaktperson:
Marsh & McLennan Companies HR Team
StudySmarter Bewerbungstipps 🤫
So bekommst du den Job: Oliver Wyman - Actuarial Consultant (m/f/d) - Dusseldorf or Munich
✨Tip Number 1
Familiarize yourself with the latest trends in risk management and actuarial services. This will not only help you understand the role better but also allow you to engage in meaningful conversations during interviews.
✨Tip Number 2
Network with professionals in the actuarial field, especially those who work at Oliver Wyman or similar firms. Attend industry events or webinars to make connections that could lead to referrals.
✨Tip Number 3
Brush up on your programming skills, particularly in Python or R, as these are highly relevant for data analytics in actuarial work. Consider working on small projects or contributing to open-source initiatives to showcase your abilities.
✨Tip Number 4
Prepare to discuss specific examples of how you've tackled quantitative challenges in past roles. Highlight your problem-solving skills and ability to work in a team, as these are crucial for the position.
Diese Fähigkeiten machen dich zur top Bewerber*in für die Stelle: Oliver Wyman - Actuarial Consultant (m/f/d) - Dusseldorf or Munich
Tipps für deine Bewerbung 🫡
Understand the Role: Take the time to thoroughly read the job description for the Actuarial Consultant position at Oliver Wyman. Understand the key responsibilities and required skills, especially in risk management and data analytics.
Tailor Your CV: Customize your CV to highlight relevant experience in actuarial services, risk management, and any programming skills you possess. Make sure to emphasize your educational background in (Business) Mathematics, Informatics, or Physics.
Craft a Strong Cover Letter: Write a compelling cover letter that showcases your enthusiasm for the role and the company. Mention specific projects or experiences that align with the responsibilities outlined in the job description.
Highlight Language Proficiency: Since good knowledge of German and English is required, ensure that your application reflects your language skills clearly. If applicable, provide examples of how you've used these languages in a professional context.
Wie du dich auf ein Vorstellungsgespräch bei Marsh & McLennan Companies vorbereitest
✨Show Your Passion for Risk Management
Make sure to express your enthusiasm for risk measurement and management during the interview. Discuss any relevant projects or experiences that highlight your interest in this field, especially those involving data analytics and AI.
✨Demonstrate Your Technical Skills
Be prepared to discuss your knowledge of financial mathematics, actuarial mathematics, and programming languages like Python or R. You might be asked to solve a problem or explain a concept, so brush up on your technical skills beforehand.
✨Highlight Teamwork Experience
Since the role emphasizes collaboration, share examples of how you've successfully worked in teams. Discuss your ability to communicate effectively and how you contribute to a positive team dynamic.
✨Prepare for Behavioral Questions
Expect questions that assess your initiative, reliability, and communication skills. Use the STAR method (Situation, Task, Action, Result) to structure your answers and provide clear, concise examples from your past experiences.