Data Analytics & Management, Officer
Tasks
- Analyze large datasets for trends and drivers
- Apply anomaly detection and classification to finance data
- Combine AI reasoning with deterministic logic
- Create prompts grounded in finance context with guardrails
- Design agent based workflows for finance processes
- Design monitoring for AI quality over time
- Ensure explainable auditable solutions
- Evaluate prompt outputs for consistency and reduce hallucinations
- Implement LLM copilots for finance narratives variance explanations and exception triage
- Implement data governance and controls aligned to regulatory expectations
- Improve traceability accuracy completeness timeliness for finance risk data
- Operationalize AI outputs into finance workflows using no code and low code tools
- Orchestrate AI steps with rules based logic
- Support forecasting with finance analytics
- Validate AI outputs against financial data and business logic
Perks/Benefits
- Employee networks
- Flexible work/life support
- Inclusive development opportunities
- Paid volunteer days
Skills/Tech-stack
Agentic AI | Alteryx | Anomaly Detection | Anthropic Claude | Classification | Copilot Studio | Data Governance | Data Modeling | Data Quality | Data Warehousing | Databricks | ETL | Explainability | Forecasting | Language Models | Large Language Models | Low Code | Microsoft 365 | Microsoft 365 Copilot | Microsoft Copilot | Microsoft Copilot Studio | Microsoft Fabric | Microsoft Power | Microsoft Power BI | Microsoft Power Platform | No Code | Power BI | Power Platform | Prompt engineering | Python | RPA | SQL
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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