Data Analytics & Management, Officer
Tasks
- Apply anomaly detection and classification
- Build LLM copilots for finance narratives
- Build reusable evaluation approaches for prompts
- Combine AI reasoning with rules based logic
- Contribute to BCBS 239 traceability accuracy completeness timeliness
- Create finance grade prompts
- Design agent-based workflows
- Design monitoring for AI output quality
- Develop prompt guardrails to reduce hallucinations
- Ensure solutions are explainable and auditable
- Explain variances with root cause analysis
- Implement data governance and data quality controls
- Operationalize AI outputs in finance workflows
- Orchestrate AI steps with deterministic logic
- Support forecasting analysis
- 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 | Classification | Copilot Studio | Data Governance | Data Modeling | Data Quality | Data Science | Data Warehousing | Databricks | ETL | Explainability | Forecasting | LLM | Low Code | Microsoft 365 | Microsoft 365 Copilot | Microsoft Copilot | Microsoft Copilot Studio | Microsoft Fabric | Microsoft Power | Microsoft Power BI | No Code | Power BI | Power Platform | Prompt engineering | Python | RPA | Rules-based Logic | SQL | Workflow automation
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
AI | AI Engineer | Analyst | Data Analyst | Data Scientist | Engineer | Scientist
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