Data Analytics & Management, Officer
Tasks
- Analyze large complex datasets for drivers and trends
- Apply anomaly detection and classification
- Combine AI reasoning with deterministic rules
- Create finance grade prompts and output guardrails
- Design agent based workflows for finance processes
- Design monitoring for quality over time
- Embed data governance and controls from design to production
- Ensure solutions are explainable and auditable
- Evaluate prompts and reduce hallucinations
- Explain variances and perform root cause analysis
- Implement LLM copilot solutions for finance narratives
- Improve traceability accuracy completeness timeliness for reporting
- Operationalize AI outputs into finance workflows
- Orchestrate AI steps with rules based logic
- Support forecasting and explainability
- Surface AI insights and exceptions to end users
- Validate AI outputs against financial data
Perks/Benefits
- Employee networks
- Flexible work/life support
- Inclusive development opportunities
- Paid volunteer days
Skills/Tech-stack
Agentic AI | Alteryx | Anomaly Detection | Auditability | BCBS 239 | Classification | Copilot Studio | Data Governance | Data Modeling | Data Quality | Data Warehousing | Databricks | Deterministic logic | ETL | Explainability | Forecasting | LLM | Low Code | Microsoft 365 | Microsoft Copilot | Microsoft Copilot Studio | Microsoft Fabric | Microsoft Power | Microsoft Power Platform | Monitoring | No Code | Power BI | Power Platform | Prompt engineering | Python | RPA | SQL
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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