The banking and financial sector in 2024 is being redefined around specific regulatory constraints and technological changes that alter the daily operations of institutions. Two key areas stand out: the shift to T+1 settlement in financial markets and the finalization of the Basel III framework, along with profound transformations related to artificial intelligence and digital resilience requirements.
T+1 Settlement: The Operational Constraint Redefining Post-Market
In April 2024, the AMF and the Banque de France officially called for an organized transition to a T+1 settlement cycle in French markets. This shortening of the settlement period, already underway in the United States and Canada, requires European banks to process their market transactions in a single day instead of two.
The consequences affect several layers of banking activity. Margin management, collateral mobilized with clearing houses, and coordination between internal systems must operate at an accelerated pace. Teams responsible for post-market operations lose the flexibility that allowed them to correct errors before the settlement of transactions.
Industry players relying on specialized resources like Banque et Finance are closely monitoring this transition, as it impacts both large investment banks and mid-sized asset managers. The challenge is as much technological as it is organizational: automatic reconciliation systems must increase in reliability to compensate for the reduced human time available.
Finalization of Basel III and Market Risk Review (FRTB)
The fundamental review of the trading book, known by the acronym FRTB, constitutes the last major component of Basel III for European banks. In May 2026, the European Commission finalized the delegated act on market risk, but the compliance timeline engages institutions starting in 2024.
The FRTB changes how banks calculate their capital requirements related to trading activities. Internal models must be recalibrated, and the boundary between the trading book and the banking book becomes stricter. For French banks active in interest rate and currency markets, this means a complete overhaul of their risk measurement systems.
What FRTB Changes in Practice
- The capital calculation models shift from a Value-at-Risk approach to a method known as Expected Shortfall, which is more sensitive to extreme losses
- The regulatory reporting as of January 1, 2025, requires banks to produce granular data on each trading desk, with an unprecedented level of detail
- Institutions that fail to validate their internal models will switch to a standard approach, often more costly in capital
This regulatory sequence creates pressure on banks’ IT budgets, which must simultaneously absorb FRTB compliance and the transition to T+1.
Generative Artificial Intelligence in Banking Services
Generative AI has reached a milestone of adoption in the financial sector in 2024. Use cases focus on three areas where return on investment is measurable: document analysis, anomaly detection in transaction flows, and assistance to branch advisors.
In document analysis, banks handle substantial volumes of contracts, supporting documents, and regulatory documents. Language models allow for the extraction and cross-referencing of information in a fraction of the time required for manual processing. The automation of document compliance significantly reduces client file processing times.
Limits and Safeguards
The use of generative AI in the banking environment raises questions about data governance. Models trained on external corpora can produce inaccurate responses when applied to regulatory references specific to the French market.
Banks deploying these technologies implement human validation loops on model outputs, particularly for credit decisions and reports intended for regulators. The productivity gains are real but contingent on strict oversight.
Cybersecurity and Digital Resilience of Financial Institutions
The proliferation of digital channels exposes banks to more diverse attack vectors. In 2024, cybersecurity is no longer solely the responsibility of technical teams: it involves marketing services, product teams, and customer experience managers, particularly in terms of fraud prevention and personal data protection.
Financial institutions in France are investing heavily in real-time detection architectures. Transaction monitoring systems now combine static rules and machine learning models capable of identifying fraudulent patterns before a transaction is finalized.
- Operational resilience testing becomes a regular requirement imposed by European regulators, including simulations of cyberattacks on critical infrastructures
- Privileged access management is being tightened, with multi-factor authentication extended to third-party providers connected to banking systems
- Business continuity plans now incorporate scenarios of simultaneous compromise of multiple cloud providers
The combination of the shift to T+1, the finalization of Basel III, the adoption of generative AI, and the strengthening of cybersecurity outlines a banking and financial sector in 2024 where each technological initiative is inseparable from a regulatory constraint. Institutions that address these issues in isolation risk operational inconsistencies that neither regulators nor clients are willing to tolerate.