Senior Applied AI Engineer – Finance

Responsibilities

• Design, develop, and deploy machine learning models and AI solutions tailored to Finance use cases (e.g., forecasting, planning, variance analysis, anomaly and risk detection).
• Build and maintain ML models for financial planning, forecasting, trend analysis, and anomaly detection across large, structured datasets.
• Develop LLM-powered tools to support financial analysis, commentary generation, summarization, and scripted insights for Finance users.
• Translate Finance requirements into data pipelines, feature engineering, model architecture, and deployment approaches.
• Conduct model validation, back-testing, and performance evaluation to ensure accuracy, robustness, and business relevance.
• Evaluate model performance over time and diagnose issues related to data quality, concept drift, and changing business conditions.
• Implement appropriate controls, explain-ability, and documentation to support Finan...