Industry Systems
Financial Systems Where Accuracy and Audit Trails Are Non-Negotiable
We build reconciliation platforms, compliance tools, client reporting systems, and portfolio data infrastructure for financial services firms where a single error has consequences.
What's Included
Challenges Financial Services Firms Face
Reconciliation at Scale
Matching positions and transactions across custodians and internal systems manually — consuming analyst days every month.
Compliance Reporting Burden
Regulatory reports assembled manually from multiple data sources with no automated validation — creating submission risk.
Client Reporting Inconsistency
Performance reports produced from different data sources by different teams — with no guarantee of consistency across clients.
Fragmented Portfolio Data
Positions, transactions, and corporate actions sitting in multiple systems with no unified view for portfolio managers or operations.
No Audit Trail on Internal Decisions
Investment decisions and client instructions recorded in email threads with no structured, searchable audit log.
What's Included
How Aron Tech Helps
Automated Reconciliation Platforms
Systems that match transactions and positions automatically — with exception queues for human review of genuine discrepancies only.
Compliance and Regulatory Reporting
Automated production of regulatory reports with built-in validation, data lineage documentation, and submission audit trails.
Client Reporting Systems
Consistent, branded client reports generated from a single data source — eliminating manual assembly and version control problems.
Unified Portfolio Data Platform
Central data store aggregating positions and transactions from all custodians — consistent model for analytics and reporting.
Decision and Instruction Audit Systems
Structured logging of investment decisions and client instructions with timestamps, approver records, and full traceability.
Running financial operations on data you can't fully trust?
Tell us where the gaps are. We'll design systems that produce accurate, auditable data — and reduce the manual work to produce it.