This role combines data science with client-facing responsibilities in the fintech sector. You'll be translating complex actuarial needs into practical data solutions, making a significant impact on client operations.
Innovative and client-focused
In this role, you will work for a leading financial technology company that specializes in developing advanced reserving and pricing software. Your main responsibility will be to implement these solutions directly into client data architectures, ensuring that they meet specific actuarial requirements. This position sits at the intersection of fintech and data engineering, making it ideal for someone who enjoys both technical challenges and client interaction.
Your day-to-day tasks will involve collaborating with clients to understand their needs and translating those into effective data solutions. You will also be responsible for optimizing the software for various client environments, ensuring seamless integration and functionality. This role requires a strong understanding of data engineering principles as well as actuarial science, as you will be bridging the gap between technical teams and client expectations.
The ideal candidate will have at least 3 years of experience in data engineering, with a solid background in actuarial practices. You should be comfortable working in a fast-paced environment and have excellent problem-solving skills. If you thrive on making a tangible impact and enjoy working closely with clients, this role could be a great fit for you.
You'll be taken to the original listing on PNet to apply.