pathoori.ai / Research Concept
TIJER · Vol 12 · 2024 Peer-Reviewed 📄 View Paper ← Portfolio
📄 TIJER Journal — Peer-Reviewed · International

Predictive Analytics in Financial Governance: Securing the Future with Cloud Risk Platforms

This paper presents the Basel III / CCAR Compliance Engine deployed at a global Investment Bank — an LSTM-powered cloud architecture that reduced dashboard query times from 5 minutes to sub-second (500% gain), automated 6 regulatory pipelines (LCR, NSFR, CCAR, Capital Position, CRD IV Exposure, BCBS 248 Intraday Liquidity), and saved 15,000+ analyst hours annually.

Framework: Basel III / CCAR Compliance Engine
Institution: a global Investment Bank
DOI: 10.56975/tijer.v12i6.158498
ORCID: 0009-0000-2999-8263
500%
Dashboard Performance Gain
15K+
Analyst Hours Saved/yr
80%
Manual Workload Reduced
6
Pipelines Automated
Research Framework Visualizations
Primary Analysis
Secondary Analysis
Distribution / Composition
Trend Analysis
Enterprise Adoption / Impact
Framework Architecture
01
LSTM Time-Series Engine
Long Short-Term Memory networks trained on 24-month LCR/NSFR historical sequences generate T+1 to T+5 day forecasts with 94.3% accuracy, enabling proactive buffer management before regulatory breach.
LSTM · TensorFlow · Azure ML
02
6-Pipeline Regulatory Layer
Fully automated: LCR (Basel III), NSFR (Basel III), CCAR (Fed Reserve), Capital Position (Pillar 1), Exposure Tracking (CRD IV), Intraday Liquidity (BCBS 248). End-to-end in under 60 seconds per pipeline.
Basel III · CCAR · CRD IV · BCBS 248
03
500% Performance Architecture
Migrated from on-premise SSRS to Azure Synapse + Power BI Premium. Sub-second query response on $8B regulatory exposure datasets. 8-hour weekly downtime eliminated — now 99.9% uptime.
Azure Synapse · Power BI · 99.9% SLA
Cite This Research
Pathoori, M. R. (2024). Predictive analytics in financial governance: Securing the future with cloud risk platforms. TIJER, 12(6), 15849–15861. https://doi.org/10.56975/tijer.v12i6.158498
DOI: https://doi.org/10.56975/tijer.v12i6.158498
ORCID: https://orcid.org/0009-0000-2999-8263
Test this framework live: pathoori.ai ↗