This role is perfect for someone who enjoys working at the intersection of data science and finance. You'll be responsible for deploying software solutions that meet client needs while ensuring they fit seamlessly into existing data systems.
In this role, you will be working with a leading financial technology company that specializes in creating advanced software for reserving and pricing. Your main responsibility will be to deploy this software into client data architectures, ensuring that it meets their specific needs and integrates smoothly with their existing systems. This position requires a strong understanding of both data engineering and actuarial principles, as you will be translating complex requirements into practical solutions.
Your day-to-day tasks will involve collaborating with clients to understand their data environments and requirements. You will act as a technical bridge, ensuring that the software is optimized for their specific contexts. This role is ideal for someone who enjoys problem-solving and has a keen interest in how data can drive financial decisions.
Key responsibilities include: • Leading the deployment of software solutions into client environments • Translating actuarial requirements into data solutions • Ensuring software optimization for client data architectures
To succeed in this role, you should have 3 to 5 years of experience in data engineering, with a solid foundation in actuarial science. Strong communication skills are essential, as you will be working closely with clients to deliver tailored solutions. If you are passionate about fintech and enjoy working with data, this could be the perfect opportunity for you.
You'll be taken to the original listing on PNet to apply.