About the Client
We are one of the world’s leading providers of reinsurance, insurance and other forms of insurance-based risk transfer, working to make the world more resilient. We anticipate and manage a wide variety of risks, from natural catastrophes and climate change to cybercrime. Combining experience with creative thinking and cutting-edge expertise, we create new opportunities and solutions for our clients. This is possible thanks to the collaboration of more than 14,000 employees across the world.
About the Role
Asset Management's Tech Transformation is our strategic program to modernise the tech platform and empower our business users with better tools and data, delivering on our digital vision. We selectively combine transactional and analytics data platforms to provide innovative, secure and cost aware technology services.
We work in a scaled agile model with a shared leadership team and broadly aligned autonomy for our squads. We are located across the globe but share the same values of passion, openness, respect, humility, and curiosity in our team. We are a highly skilled and diverse global team. We love to learn new skills and will support you to do the same! We strive to improve the quality of our work for our customers every day. As a matter of trust, we give you a high degree of flexibility which matches your independent working style.
Responsibilities
Help us analyze signals in financial markets using Generative AI,
Co-create advanced data and AI services in cross functional teams,
Constantly grow our data foundation platform and apply leading edge concepts, such as metadata or graphs
Support many other exciting projects in a collaborative environment with colleagues from Asset Management's international offices.
Requirements
Degree in Computer Science, Applied Mathematics, Statistics, Physics or related quantitative field. We welcome different levels, including graduates
Knowledge of Python and/or R programming languages
Knowledge in machine learning, statistical modelling and related technologies
Nice to Have Skills
Background in software engineering
Experience in distributed computing
Interest in Generative AI and Natural Language Processing