This role is perfect for someone who thrives at the intersection of data science and client engagement. You'll be implementing advanced software solutions while ensuring they meet specific actuarial needs.
In this role, you will work with a leading financial technology company that specializes in developing advanced software solutions for the financial sector. Your primary responsibility will be to implement next-generation reserving and pricing software into client data systems. This means you will need to understand both the technical aspects of data engineering and the specific needs of actuarial science to ensure a smooth integration.
You will act as a crucial link between the actuarial team and the technical implementation, translating complex requirements into practical data solutions. This involves optimizing software for various client environments, ensuring that it operates efficiently and meets all necessary specifications.
The ideal candidate for this position has a solid background in data engineering, with at least 3 years of experience. You should be comfortable working directly with clients to understand their needs and translate those into actionable technical solutions. Strong problem-solving skills and the ability to communicate effectively with both technical and non-technical stakeholders are essential.
Key responsibilities include: • Leading the deployment of software solutions into client architectures • Collaborating with actuarial teams to gather requirements • Optimizing software performance for client environments
This role suits someone who enjoys a dynamic work environment and is passionate about leveraging data to drive client success.
You'll be taken to the original listing on PNet to apply.