ILS Quantitative Developer Intern

Description AXA Investment Managers (AXA IM) has been part of the BNP Paribas Group since July 1, 2025, following the completion of its acquisition. AXA IM is a key player in global asset management, with over 3,000 professionals and 24 offices across 19 countries worldwide. We serve a diverse international client base, including institutional investors, corporations, and individuals, offering a wide range of investment opportunities across global markets. Our offerings include both alternative assets (real estate participations, private debt, alternative credit, infrastructure, private equity, and solutions focused on private markets) and traditional assets (bonds, equities, and multi-asset strategies). AXA IM manages approximately €879 billion in assets, of which €493 billion are categorized as investments incorporating ESG criteria, sustainability, or impact considerations. Our goal is to provide our clients with a comprehensive range of products, from traditional investments to ESG strategies, enabling them to align their portfolios with their financial objectives and sustainability priorities. In a rapidly changing world, we adopt a pragmatic approach focused on delivering long-term value to our clients, our employees, and the economy as a whole. Department The structured and securitized origination team is part of the Alternative Credit department which manages more than €50Bn in assets. The ILS team, part of the structured and securitized origination team, is made of 4 investment individuals and is responsible for managing Insurance Linked Securities (ILS) strategies in various instruments (Cat Bonds, Collateralized Reinsurance, Industry Loss Warranties, Sidecars...). DISCOVER your Opportunity Main responsibilities Assistance to the ILS team in monitoring natural catastrophes and analyzing the exposure of counterparties to these events: Develop tools to extract and import live catastrophe events data from public data sources into our front office tool and estimate their potential impact on investments. Leverage on Large Language models APIs, text mining or other tools (including web scrapping tools) to streamline the download, analysis, data extraction and formatting of investments related notice and reports. Automation of metrics extraction: Analysis of catastrophe models output (with SQL). Modelling of complex reinsurance treaty (cascading, inuring) using adequate data structures (with python or R). Computation of i) expected loss breakdown by multiple dimensions and using different perspectives; ii) historical events impact estimates; iii) Risk metrics summaries with different catalogues, including sensitivity tests. Output formatting to import them into the front office tool called Ouranos. Depending on the intern's appetite, assistance to the ILS team in the analysis of some assets: Catastrophe Bonds Analysis: perform quantitative and qualitative analysis on insurance linked securities (cat bonds) in the primary market and organize investment committees with ILS team, risk management and traders. Qualifications SHARE your unique experience Education/Qualifications University or Engineering school degree from a top institution with background in Math, Computer Science or Data Science Experience Proven experience with SQL and Python (or R) through previous internships or projects. Experience in dealing with complex data structures, web scraping or Large Language models API through previous internships or projects would be a plus. Quantitative analysis or developer experience gained in an insurance, asset management or financial markets environment would be a plus. Competencies Candidate must be efficient, proactive, well organized and have high attention to detail. Candidate will be asked to demonstrate some degree of autonomy to be able to respond in a timely fashion to urgent requests. Excellent communication skills. Team player, multi-tasking and ability to work under pressure, very thorough mind and capacity for synthesizing. Fluent in English. Agile in data management (SQL, R, Python, VBA). Curious Rigorous #JT