Data Analytics Engineer (m/w/d) - FinTech

Cadeia provides a digital service platform for the structuring, issuance and settlement of complex financial products (e.g. asset-backed securities or syndicated loans but also simple bonds). In addition to enhanced servicing functionalities and a rule-based cash flow distribution solution, the platform also offers reporting, compliance and analytics tools for issuers and investors. At its core, a blockchain-agnostic Smart Contract Engine (SCE) allows for the automated execution of legal contracts, transactions, and payments.

After a successful seed round and recently approved public funding, we are solidly financed.

Tasks

We value passion and motivation higher than experience and training. The willingness to learn and constantly develop beats a streamlined CV in our evaluation.

• Architect & Develop elegant technical solutions and strategies from complex business concepts and Data Science models utilizing the latest technologies and engineering practices
• Partner with Software Engineers, business development and product teams to craft scalable, flexible and resilient architectures for Machine Learning and Data Science Models that address customer business problems and accelerate the adoption of our Advanced Analytics & Data services
• Definition for Machine Learning & AI Design Patterns and Best Practices
• Consult our stakeholders in the technical applicability of our data and machine learning services
• Constantly striving for Automation and Optimization within the ML development and operations cycle
• Verifies the stability, interoperability, portability, security, and scalability of our analytics system architecture

Requirements

We believe that innovation happens when different perspectives come together to solve difficult problems in ways that were previously impossible.

That's why we specifically look for people who bring different life experiences, different educational backgrounds, different cultures, and different work experiences, but also different personalities. We would love to hear how you can bring something unique and forward-thinking to our team.