Agricultural Valuation & Machine Learning Model SME (OVA5725)

This is a 2 - month contract with our client in the banking sector.

Bridge the gap between agricultural valuation, data science, and credit decisioning by providing expert advisory and research to support machine learning-driven valuation models.

Key Responsibilities

• Model & Methodology Advisory: Guide agricultural valuation methodologies, asset pricing principles, and the development/refinement of ML models.

• Output Interpretation: Identify valuation drivers and assumptions; translate complex technical modelling outputs into actionable business language.

• Cross-Functional Collaboration: Engage with Product, Credit Risk, Agriculture Banking, Data Science, and Tech teams.

• Research & Governance: Conduct market trend research, produce executive presentation packs, and support model review governance forums.

• Knowledge Management: Document valuation frameworks and facilitate stakeholder education workshops.

Minimum Requirements

• Experience: Proven background in agricultural valuation, agribusiness economics, agricultural finance, or related fields.

• Model Support: Direct experience supporting analytical, statistical, or machine learning models.

• Technical Knowledge: Deep understanding of valuation methodologies and collateral valuation principles.

• Skills: Strong research, documentation, and stakeholder communication skills.

• Advantageous: Experience within a banking, lending, or credit risk environment.