Data Analytics & Management, AVP
Tasks
- Analyze large datasets to identify drivers trends and actionable signals
- Apply anomaly detection classification and forecasting support
- Build reusable prompt patterns evaluation and hallucination reduction
- Combine AI reasoning with deterministic rules thresholds accounting constraints materiality
- Create and refine finance context prompts and guardrails
- Design agent based workflows with human oversight
- Design monitoring for model quality over time
- Embed data governance controls and monitoring from design through production
- Ensure explainable auditable AI aligned with governance
- Implement LLM copilots for finance narratives variance explanations exception triage root cause analysis
- Improve data traceability accuracy completeness timeliness and evidencing for regulatory reporting
- Operationalize AI outputs using no code low code platforms
- Orchestrate AI steps with rules based logic
- 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
Anomaly Detection | BCBS 239 | Classification | Code platforms | Data Governance | Data Modeling | Data Quality | Data Science | Data Warehousing | ETL | ETL concepts | Explainability | Forecasting | LLM | Low Code | Low-Code Platforms | Machine Learning | No Code | No-Code Platforms | Prompt engineering | Python | RPA | Regulatory Compliance | SQL | Workflow Orchestration
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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