This role is perfect for someone who thrives at the intersection of data science and client strategy in the fintech space. You will be responsible for deploying software solutions that meet actuarial needs while ensuring they fit seamlessly into client systems.
In this role, you'll work for a leading financial technology company that specializes in creating advanced software solutions for the actuarial field. Your main responsibility will be to lead the implementation of reserving and pricing software into client data systems, ensuring that the solutions are tailored to their specific needs. This position requires a strong understanding of both data engineering and actuarial principles, making it ideal for someone with a background in these areas.
Your day-to-day tasks will involve collaborating closely with clients to understand their requirements and translating these into effective data solutions. You'll also be responsible for optimizing the software to ensure it performs well within the clients' existing architectures. This role is crucial as it acts as a bridge between technical teams and client stakeholders, ensuring that both sides are aligned and that the software meets its intended purpose.
To succeed in this role, you should have 3 to 5 years of experience in data engineering, with a solid grasp of actuarial concepts. Strong communication skills are essential, as you'll be interacting with clients regularly. If you enjoy working in a fast-paced environment where you can make a significant impact, this position could be a great fit for you.
Key requirements include: • 3 to 5 years of data engineering experience • Strong understanding of actuarial science • Experience in software deployment • Ability to engage effectively with clients
This is a mid-level position, so it's best suited for someone who has already gained some experience in the field and is looking to take on more responsibility.
You'll be taken to the original listing on PNet to apply.