Description
Kernel - the world's largest producer and exporter of sunflower oil and a key supplier of agricultural products from the Black Sea region to global markets - is looking for a Financial Modeling Engineer to join our FP&A team.
This role sits at the intersection of financial modeling, FP&A, and AI. You'll own the financial models and forecasts that drive management decision-making, while building the next generation of FP&A processes - where AI handles the routine work, not people.
We're looking for someone who already builds with AI and wants to go further: deepening these skills and applying them at scale in a large business.
What you'll do:
- Develop and maintain financial models forecasting performance across business divisions
- Run scenario analysis and sensitivity testing on key assumptions
- Analyze investment projects and prepare materials for investment decisions
- Build AI-powered solutions (prompts, skills, agents) for FP&A processes -forecasting, scenario modeling, variance analysis, commentary generation
- Turn dashboards and reports into actionable insights for leadership
- Distill large volumes of analytics into decision-ready formats
- Identify manual, repetitive FP&A processes and automate them end-to-end -tracking impact through hours saved, faster reporting, and fewer error
What we offer:
- Official employment
- Competitive salary with regular reviews and clearly defined bonus terms
- Draft exemption (military reservation) for employees
- Free training and professional development
- Downtown office with a shelter
- Medical insurance
Apply via either:
https://www.linkedin.com/jobs/view/4450172065/
https://career.kernel.ua/vacancy/21324/
Requirements
What we're looking for:
- 3+ years of experience in financial modeling and investment analysis
- Advanced Excel skills - building structured, scalable financial models
- CFA Level 1 (minimum, completed)
- Experience with Power BI and Power Query for data transformation and visualization
- Strong motivation to advance AI adoption in financial modeling and FP&A
- Ability to validate AI-generated outputs for accuracy against source data
- Experience with at least one low-code automation platform (Power Automate, n8n, Zapier)
Nice to have:
- Daily hands-on use of AI assistants (Claude, ChatGPT) in your workflow
- Experience building AI agents or automations deployed in real business processes
- Experience connecting AI to internal systems via MCP
- Background in Big 4, consulting, or investment banking
- CFA Level 2–3 completed
