Senior Financial Data Architect
Full-Time • Nîmes
This role involves designing the prediction models that power our forecasting engine. You'll work directly with client data patterns to improve accuracy and reduce computational overhead.
Most days look like this: morning code reviews, afternoon algorithm optimization, and occasional client calls when they need explanations about how the system generates its forecasts. You'll collaborate closely with our product team to prioritize which features actually matter to users.
What you'll actually do:
- Build and refine statistical models that predict cash flow patterns
- Write Python code that processes financial data from various accounting systems
- Debug edge cases when client datasets behave unexpectedly
- Mentor junior developers on modeling techniques and code architecture
- Participate in product decisions about which forecasting features to develop next
We're looking for someone with 4-7 years of experience working with financial data or similar prediction systems. You should be comfortable explaining complex technical concepts to non-technical stakeholders because our clients often want to understand the "why" behind our forecasts.
