Senior Manager, Finance Data Analytics Lead
Tasks
- Architect datasets for finance hub applications
- Build core data infrastructure and pipelines
- Build what if analysis frameworks
- Define data governance standards
- Design data and AI roadmap for finance
- Develop machine learning models for NIM and ROE forecasting
- Establish unified data layer across banking domains
- Identify high-value AI/ML use cases
- Implement AI driven monitoring for data errors
- Implement Python based ETL pipelines
- Manage data analysts team
- Migrate legacy finance data to cloud
- Monitor automation model and reporting metrics
- Replace manual Excel reconciliation with automated pipelines
- Transition to automated real time analytics
Perks/Benefits
- Career growth opportunities
- Community involvement opportunities
- Health and wellbeing resources
- Hybrid work environment
- Paid sick days
- Paid vacation
Skills/Tech-stack
Artificial Intelligence | Azure | Data Architecture | Data Governance | Data Lakes | Data Modeling | Data Pipelines | Databricks | ETL | Excel | Funds transfer | Funds transfer pricing | General Ledger | Interest Rate | Interest Rate Risk | Interest rate risk analysis | Kanban | Liquidity ratios | Machine Learning | Net Interest Margin | Power BI | Predictive Analytics | Prompt engineering | Python | R | Regression Analysis | Return on Equity | Risk Analysis | SQL | Scrum | Series analysis | Snowflake | Tableau | Time Series | Time Series Analysis | Transfer Pricing
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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