Data Analytics & Management, Officer
Tasks
- Analyze large datasets to identify drivers trends and actionable signals
- Apply anomaly detection classification and forecasting support
- Build agentic AI workflows for finance processes
- Combine AI reasoning with rules thresholds accounting constraints and materiality logic
- Contribute to data governance and regulatory aligned outcomes
- Create finance grade prompts and context design
- Design monitoring for AI output quality over time
- Develop reusable prompt patterns and guardrails
- Ensure solutions are explainable auditable and aligned with governance
- Implement LLM copilots for finance narratives
- Operationalize AI outputs into finance workflows using low code tools
- Orchestrate AI steps with deterministic rules based logic
- Perform variance explanations exception triage and root cause analysis
- 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 | BCBS 239 | Classification | Copilot Studio | Data Governance | Data Modeling | Data Quality | Data Warehousing | Databricks | ETL | Explainable AI | Finance process | Finance process knowledge | Forecasting | LLM Copilots | 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 | Process knowledge | Prompt engineering | Python | RPA | SQL
Roles
AI | AI Engineer | Analyst | Data Analyst | Data Scientist | Engineer | Scientist
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