- Industry: Banking & Financial Markets
- Service Pillar: Digital Transformation & Optimization → Optimization / ODC Setup
Executive Summary
A leading universal bank was experiencing high operational costs and delayed settlements due to complex multi-venue trade reconciliations. Mindmap Technologies implemented an intelligent reconciliation platform that automated trade matching, exception classification, and break resolution workflows, delivering faster settlements and improved audit readiness.
Problem Overview
- Manual reconciliation of high-volume trades across multiple venues
- Delayed break identification impacting settlement timelines
- Lack of standard tolerance thresholds for multi-currency transactions
- Audit non-compliance due to missing evidence and traceability
Our Solution
- Implemented a rules-based reconciliation engine with fuzzy and deterministic matching logic
- Configured tolerance bands for trade amount, FX rate, and fees
- Developed an exception management workflow for automated assignment and escalation
- Integrated real-time dashboards and audit evidence generation modules
Technology Used
Python, PostgreSQL, Kafka, Airflow, Power BI, Docker, REST APIs
Key Outcomes
01
Achieved 92% straight-through processing (STP) on Day 1
02
Reduced exception backlog by 85% within three months
03
Enabled T+0 visibility for trade breaks across 6 trading desks
04
Fully auditable evidence packs generated automatically for every reconciliation cycle