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Capital management shifts beyond model optimisation toward stronger data and governance.
Banks must manage multiple capital constraints across models, standardised approaches, and output floors.
Jurisdictional differences create complexity for cross-border banks.
RWA changes are reshaping portfolios and product pricing.
Firms are strengthening capital steering and governance.
Basel 3.1 can become a strategic advantage if managed well.
Ahead of Risk Evolve 2026, Sajid
Iqbal explores how Basel 3.1 is reshaping the way banks
approach capital management. As regulatory reforms tighten modelling
constraints and introduce new capital floors, institutions must rethink how
they plan, allocate, and govern capital. He outlines the key challenges,
strategic adjustments, and practical steps banks are taking to navigate the
evolving regulatory landscape.
What is the most significant way
Basel 3.1 is changing capital management compared
to previous regulatory reforms?
Basel 3.1 is shifting capital management
away from being largely a “model optimisation” exercise and towards a “data,
governance, and comparability” discipline. Strong internal models still matter,
but the combination of tighter modelling constraints and the output floor means
banks must manage capital through multiple lenses at the same time, modelled,
standardised, and floored outcomes. In practice, this brings capital strategy
closer to day-to-day business decisions, product pricing, hedging choices, and
portfolio construction, which increasingly need to reflect which constraint is
binding, rather than assuming internal models will always be the main lever.
Where are institutions seeing the
biggest challenges from jurisdictional differences and phased implementation
timelines?
The biggest challenge is operating in
“parallel regulatory realities” for an extended period. Different go-live dates
varied supervisory expectations, and uneven interpretation of key topics
creates friction for cross-border groups. This typically surfaces in three
areas:
Consolidated versus local-entity capital
planning,
Internal capital allocation and transfer
pricing, and
Reporting and data architecture, because
firms need consistent data definitions even when regulators prioritise
different elements at different times.
How are shifts in risk-weighted
assets and internal model treatment influencing capital planning
decisions?
Capital planning is shifting towards
portfolio-engineering, relying less on model-based benefits. As model
advantages diminish or are capped by floors, banks now focus on which approach
yields the most stable and transparent capital outcomes across internal models,
standardized methods, and floors. This trend encourages firms to reduce
complexity where it no longer provides value, redesign or reprice the products
with heavier standardised charges, and adopt more regime-based planning. Such
planning accounts for significant changes in rates, volatility, and liquidity
conditions that can impact the core capital drivers.
What practical steps are firms
taking to integrate market and operational risk revisions into their overall
capital strategy?
The most effective approaches are pragmatic
and operational.
First, banks are building an end-to-end
“capital map” linking products and desks to risk drivers, RWAs, and ultimately
pricing and limits, so regulatory changes translate into real decisions.
Second, many are strengthening capital
steering governance, often through a dedicated forum aligned with ALCO or a
capital committee, to move from reviewing numbers to agreeing on management
actions (hedging, limits, portfolio repositioning, or targeted growth).
Third, there is a clear emphasis on data
discipline, particularly for operational risk, because weak loss data,
inconsistent taxonomy, and poor linkage to processes quickly become expensive
under a more standardised and scrutinised regime.
What advice would you give to peers
balancing regulatory compliance with capital efficiency as Basel 3.1
implementation progresses?
I recommend viewing Basel 3.1 not as just a
standalone compliance program but as a stress test for the business model. In
practice, this means early identification of the most likely constraint
(whether from internal models, standardised approaches, or the output floor) by
portfolio. It also involves incorporating capital costs into pricing, limits,
and performance metrics to encourage aligned behaviour, investing in clear
explanations of drivers and management actions for boards and supervisors, and
preserving flexibility through a detailed “capital levers” playbook, which
includes hedging, portfolio reshaping, model strategy, funding mix, and booking
decisions. When executed effectively, Basel 3.1 can serve as a competitive
advantage rather than merely a cost burden.
I am a seasoned Financial Risk Management professional with 19+ years of experience in banking, treasury, fintech, and AI-driven risk solutions. I am passionate about challenging traditional approaches to risk and driving innovation in the industry. As Vice President of Risk Management and Head of Market & Liquidity Risk, I develop and implement cutting-edge risk frameworks, ensure regulatory compliance, and deliver strategic solutions for complex financial challenges. I am also an International Speaker, Author, and Advisory Board Member, contributing to global discussions on risk, AI, and finance.