Actuarial Pricing Intern (m/w/d), Saint-Ouen

Die Allianz Gruppe gehört zu den größten und renommiertesten Finanzdienstleistern der Welt und bietet ein internationales Netzwerk bekannter Marken mit erstklassigen Produkten. Vor allem streben wir nach Spitzenleistungen in unserem Alltag - das heißt, in den Beziehungen zu unseren Kunden, unseren Aktionären, unseren Mitarbeitern und zur Gesellschaft. Die Allianz Gruppe ist für über 76 Millionen Kunden in rund 70 Ländern tätig.

Als verlässlicher Partner verwaltet Allianz Global Investors Vermögen in allen wesentlichen Anlage-klassen und -regionen. Unsere Experten sind in 19 Märkten weltweit vertreten, mit umfassender Prä-senz in Europa, den USA und in Asien. Mit rund 650 Anlagespezialisten deckt unser Investment-Ma-nagement alle wichtigen Finanz- und Wachstumsmärkte der Welt ab. Erstklassiger Service vor Ort sorgt dafür, dass die globale Expertise beim Kunden ankommt.

Tasks

You will:

• Support the development, maintenance and testing of global pricing tools and other underwriting Excel tools (including VBA-based tools) used by Product & Underwriting
• Prepare and clean pricing data sets: check data quality, structure data for analysis, and create basic summaries and insights for the pricing manager and underwriters
• Help build and run pricing models (e.g. GLMs and basic machine learning models) to predict claim frequency and severity in Python and/or other tools
• Contribute to automating repetitive pricing and reporting tasks to improve productivity and reduce manual work (e.g. scripts, templates, simple dashboards)
• Work with global underwriters and pricing colleagues to understand their questions and translate them into practical analyses or tool enhancements
• Work effectively in an environment shaped by artificial intelligence (AI), machine learning, data analytics and cloud-based tools, using insight responsibly and in line with our standards for data governance, security and ethical use

Profile

• Studying for (or recently completed) a bachelor’s degree or above in Mathematics, Statistics, Actuarial Science, Data Science or a closely related field – you are comfortable with numbers, probability and basic statistical concepts
• Good working knowledge of Excel, including formulas and data handling – you can structure spreadsheets clearly and check your own work
• Some experience with Excel VBA and/or Python – not expert level, but you can read, modify and write simple scripts or macros to manipulate data and automate tasks
• Ability to work with data in a structured way: cleaning, checking for obvious issues, and preparing it for analysis or modelling
• Clear communication in English, including the ability to explain technical work in simple terms to non-technical stakeholders (e.g. underwriters and product managers)
• Collaborative mindset and willingness to learn from actuaries, data scientists and underwriters in a global team setting