IT Around Data Management: Finance Industry
summary
A global Rates & Credit trading stack runs 24/7, handling 150,000 trades/day against a golden client store of 50 million rows, facing 25-year legacy data, many venues and dozens of products. A central order-management system enforces a single set of pre-trade validation rules; preventive controls use parallel production-to-UAT booking, parameter stamping and Splunk monitoring to surface gaps. A realtime client validation service answers allow/block checks from one golden source. Five cross‑functional teams (~6–7 people each) build and operate these pieces.
AI-written summary · about
chapters (13)
- 0:00Introduction and overview
- 1:04What is RAC and credit trading
- 2:13Trading assets and participants
- 3:17Multi-dealer platforms explained
- 9:48Market connectors and order management
- 11:13Challenges in trading platform
- 14:04Trade validation process
- 18:05Pre-trade validation rules
- 23:28Regulatory compliance controls
- 26:46Data management fundamentals
- 28:32Data quality challenges
- 31:22Operational process setup
- 33:29Solutions and summary
related talks
15mPlatform Engineering for FinTech
13mOptimizing Financial Accuracy
45mDefending the Global Financial Backbone: Euroclear's...
10mBuilding High-Performance Financial Data Pipelines
43mSponsored Session: Operational Data Stores for Financial Risk Mitigation
22mThe Treasure Trove of Credit Data: Managing Risk
22mMayur Thakur, Managing Director, Goldman Sachs, NYC 2017
14mOn the Road to Intelligent Profitability