Financial Modeling and Automation Senior Associate

The Financial Modeling and Automation (FM&A) team sits at the crossroads of Finance and Technology: building the tools, models, and pipelines that power EcoVadis' financial planning and reporting. We are looking for a Senior Associate who combines a solid foundation in finance with a continuous learning mindset and an interest in evolving their technical skill set.

You will be joining a team that works hands-on with Databricks, Pigment, and Azure. You should be comfortable with data, eager to develop your technical skills quickly, and able to communicate effectively and build strong collaborative relationships across both Finance and Engineering teams.

AI & What's Ahead? We already use Claude and Copilot daily for SQL generation and code acceleration. And we expect you to confidently leverage these tools as part of your daily workflow from an early stage. Judgment, business translation, and stakeholder decisions stay human, but AI handles the rest. As for growth, the path is yours to shape - whether that's senior engineering, platform ownership, or building AI Agents into financial workflows.

Responsibilities

Finance Data & Databricks

• Support the development and maintenance of finance-domain data pipelines and models in Databricks.
• Write, modify, and optimize SQL queries; grow your Python skills over time.
• Contribute to the Pigment ↔ Databricks integration as you build familiarity with both platforms.
• Gradually take on greater ownership of the finance data layer as experience grows.

Financial Tools & Reporting

• Build, maintain, and improve financial applications and models in Pigment.
• Support budgeting, forecasting, and month-end close process tooling.
• Automate manual reporting workflows.
• Develop automations across all EcoVadis teams (e.g. in HR, Accounting, Frontline, etc.).

Collaboration

• Work closely with Finance functions, Frontline teams (Sales, Customer Success, Marketing, etc.), Business Intelligence, and Data Engineering on shared data needs to act as a bridge between different stakeholders and technical teams.