Senior FP&A Analyst, Risk & Derivative Insight

Ardent Mills; Denver (CO); Hybrid; USD 108,000 - 129,000; Full time

Benefits offered by this job

Medical, Dental and Vision Coverage

Health Savings Accounts

Life and Disability Programs

401(k) with Company Match

Paid Time Off and Holidays

Job summary

Ardent Mills is seeking a Senior FP&A Analyst, Risk to serve as the primary finance partner to the Risk Team. The role connects commodity activity, derivative performance and business strategy to financial outcomes, owning planning, forecasting, performance analysis and management reporting to improve visibility into revenue and risk.

Hybrid work in Denver with in-person days, strong emphasis on forward-looking analytics, process improvement, and data-driven recommendations to support enterprise

Qualifications

• 6+ years of relevant finance experience in planning, forecasting, and analytics.
• Experience with commodities, derivatives, G/L, and mark-to-market accounting.
• Ability to translate market inputs into clear insights and executive summaries.

Responsibilities

• Own planning, forecasting, performance analysis and management reporting to strengthen visibility into commodity revenue and financial risks.
• Translate complex market inputs and derivative economics into insights, scenarios and recommendations for FP&A leaders.
• Build concise executive summaries connecting results, outlook, risks, opportunities and actions.

Skills

Financial analysis

Financial modeling

Budgeting

Forecasting

Management reporting

Variance analysis

Excel

Tools

Excel

Job description

Ardent Mills is seeking a Senior FP&A Analyst, Risk to serve as the primary finance partner to the Risk Team. The role connects commodity activity, derivative performance and business strategy to financial outcomes, owning planning, forecasting, performance analysis and management reporting to improve visibility into revenue and risk.

Hybrid work in Denver with in-person days, strong emphasis on forward-looking analytics, process improvement, and data-driven recommendations to support enterprise