What is data reconciliation in front-office systems, and what are common reconciliation checks?

• A. Verifying that trades, positions, and cash balances in front office match the back office and general ledger; checks include trade counts, notional values, settlement statuses, and P&L parity
• B. Verifying only the number of trades
• C. Verifying aesthetics of trade confirmations
• D. Verifying external market data latency

Answer: (A)

Data reconciliation in front-office systems is about making sure the information you see in trading and risk screens matches what is recorded downstream in operations and accounting. It’s an end-to-end check that trades, positions, and cash balances align across systems so that what’s reported in the front office can be trusted by back-office, treasury, and the general ledger.

Common reconciliation checks include verifying that the number of trades recorded in the front office matches the back office, comparing notional values to ensure exposure is consistent, confirming settlement statuses so a trade marked as settled is reflected similarly across systems, and checking P&L parity so the profit and loss reported on the front office side matches what gets posted to accounting. Additional checks often involve cash balances, open positions, and consistent trade identifiers across systems.

The other options focus on narrow or non-relevant aspects—counting trades alone doesn’t ensure end-to-end consistency, trade confirmation aesthetics aren’t about data integrity, and market data latency isn’t a reconciliation concern.