Re-Engineering Regulatory Data: Kundurthy’s RDHIM and the Future of Global Banking Compliance

In the post-crisis era, compliance has become synonymous with cost. For most banks, regulatory reporting is a high-stakes, resource-intensive obligation—rarely a source of competitive differentiation. But for Ohm Hareesh Kundurthy, a technocrat at the intersection of regulatory data, banking architecture, and governance strategy, compliance became an opportunity to architect lasting innovation.

Through his design and enterprise-wide deployment of the Regulatory Data Harmonization and Integration Model (RDHIM), Kundurthy transformed regulatory reporting at one of the United States’ largest foreign-owned banks, with a balance sheet exceeding $150B and multiple regulated entities—turning compliance from a burden into a business advantage.

The Compliance Conundrum

Global Systemically Important Banks (G-SIBs) grapple with a complex patchwork of regulatory frameworks: from the Federal Reserve’s FR Y-9C templates to the European Banking Authority’s COREP and FINREP submissions. Divergent standards, siloed data, and legacy systems make cross-jurisdictional reporting an expensive and error-prone endeavor.

At large U.S. institutions, the challenge was acute. Fragmented systems and manual processes slowed filings and elevated risk. Kundurthy, drawing on nearly two decades in legacy modernization and data architecture, proposed a bold solution: an algorithmic, cloud-native architecture to harmonize data across entities, systems, and regulations.

Architecting RDHIM

The RDHIM model reimagines regulatory data infrastructure. Unlike traditional data warehouses, it pioneers six interdependent processes rarely combined in a single framework:

• Heterogeneous Data Ingestion — Automated pipelines extract raw ledgers, loan tapes, and market data from disparate systems.• Semantic Normalization — Data Vault 2.0 constructs standardize legal entities, instruments, and risk metrics, secured with SHA-256 hashing.• Cross-Jurisdictional Reconciliation — Novel algorithms systematically reconcile schema gaps between U.S. GAAP and IFRS9, achieving error thresholds below 0.01%.• Auditability Layer — Immutable trails ensure BCBS 239 lineage compliance.• Cloud-Native Scalability — Leveraging leading cloud platforms, RDHIM achieved sub-second query performance on datasets exceeding 10TB.• Machine Learning Optimization — Anomaly detection flags inconsistencies before they reach regulators.

The result: a governance-first architecture that enforces data truth, reduces redundancy by up to 70%, and enables unified compliance across U.S. and European jurisdictions.

Enterprise Impact

Deployed in 2022, RDHIM rapidly became the backbone of the bank’s regulatory ecosystem:

• Hundreds of professionals across finance, risk, and treasury functions migrated to a single trusted dataset.• Multiple downstream systems were consolidated.• Audit readiness was achieved for COREP, FINREP, and IFRS9.• Regulatory submissions became 100% on time, eliminating medium-risk vulnerabilities.• By April 2025, the initiative had delivered positive net present value through license savings and efficiency gains—proof that compliance could pay dividends.

From Obligation to Strategy

The implications of RDHIM extend beyond compliance. Unified, high-fidelity data enabled:

• Accelerated reporting cycles that freed staff for higher-value work.• Real-time BI dashboards giving risk leaders traceable insights.• Predictive compliance readiness via AI-driven anomaly detection.• Capital optimization through precise RWA calculations.

For Kundurthy, this shift represents a philosophical change: “Regulatory resilience emerges not from static templates but from adaptive architectures that evolve with shifting global standards.”

An Original Contribution

What distinguishes RDHIM is its originality. Synthesizing principles from Data Vault 2.0, TOGAF, and BCBS 239, Kundurthy introduced non-obvious, jurisdiction-agnostic algorithms with demonstrable industry adoption. Industry experts recognize RDHIM as an original contribution of major significance—rare in the standardized field of regulatory reporting.

A Vision for RegTech’s Future

Kundurthy’s vision extends to the next frontier: AI-integrated compliance, where models like RDHIM act as intelligent middleware for autonomous regulatory forecasting, self-healing data architectures, and real-time compliance dashboards accessible to supervisors.

Conclusion

In an industry under unrelenting scrutiny, Ohm Hareesh Kundurthy’s RDHIM offers a blueprint for transforming compliance from a defensive necessity into a strategic asset. It is at once an IT achievement, a governance framework, and a competitive differentiator.

For global banks seeking to modernize compliance, Kundurthy’s work demonstrates how regulatory innovation can simultaneously meet supervisory expectations and unlock competitive advantage.