This role combines data science and actuarial expertise to deliver tailored software solutions in the fintech space. You'll work closely with clients to ensure their data needs are met effectively.
In this role, you'll be at the forefront of integrating advanced reserving and pricing software into client systems. Your main responsibility will be to bridge the gap between actuarial requirements and data solutions, ensuring that the software is tailored to fit seamlessly into various client architectures. This position is ideal for someone who thrives in a fast-paced fintech environment and enjoys solving complex problems with data-driven solutions.
Your day-to-day tasks will include collaborating with clients to understand their specific needs, deploying software solutions, and optimizing these solutions for performance. You'll need to leverage your data engineering skills to ensure that the software operates efficiently within the client's existing data frameworks.
To succeed in this role, you should have a solid background in data engineering, with at least 3 years of experience. Familiarity with actuarial principles and client strategy will be crucial, as you'll be translating technical requirements into actionable solutions. Strong communication skills will also be essential, as you'll be working closely with both technical teams and clients.
Overall, this position is perfect for a mid-level professional looking to make a significant impact in the fintech sector while working in a collaborative and innovative environment.
You'll be taken to the original listing on PNet to apply.