Accelerating Payments Modernisation
In-person
Financial Services
The data foundation financial services has been missing.
Across payments, capital markets, wealth management and retail banking, the technology exists. The blocker is fragmented, ungoverned data and an operating model that cannot support what modern platforms now require.
OUR VIEW
A joint hypothesis across the market
Financial services firms have invested heavily in modern platforms, but not in the data foundations those platforms require.
01
Data consistency is missing
02
Lineage is incomplete
03
Governance is fragmented
04
AI cannot move safely into production without trusted data
The Problem
What we see across
every segment
Data consistency fails at the edges
Systems, channels and products hold different versions of the same truth.
AI capability has advanced. Operationalisation hasn’t.
The models exist, but firms lack the governed environments needed to deploy them safely.
Manual process is a symptom of data debt
Reconciliation, reporting and exception handling remain manual because automated data paths are unreliable.
Regulatory readiness is underprepared
DORA, BCBS 239, PSR, PSD3, FCA resilience and T+1 all require stronger data infrastructure.
WHERE WE WORK
Use cases by segment
SEGMENT 01
Payments
Key themes:
01
Transaction data divergence
02
Automated reconciliation
03
ISO 20022 migration
04
Auditability and compliance
05
AI fraud and risk model readiness
06
Regulatory reporting
SEGMENT 02
Capital Markets
Key themes:
01
Trade and position data lineage
02
Reference data management
03
T+1 readiness
04
Regulatory reporting
05
AI and analytics readiness
06
Data quality risk controls
SEGMENT 03
Wealth & Asset Management
Key themes:
01
Cloud-first data platforms
02
Unified client performance views
03
Regulatory reporting
04
M&A data migration
05
AI-driven client analytics
06
Vendor and third-party data lineage
SEGMENT 04
Retail Banking & Lending
Key themes:
01
Application modernisation
02
Customer data integration
03
Data quality and ML ops
04
Automated regulatory reporting
05
Risk data and governance
06
Core modernisation
From Data Foundation to AI in Production
The data foundation is what makes AI safe to operate
AI capability is no longer the constraint. The constraint is deploying AI in an environment where behaviour is controlled, outcomes are auditable and compliance teams can sign off.
Our Work
What we have delivered
Wealth & Asset Management
Northern
Trust
80%+ reduction in time to access data; analytics projects reduced from weeks/months to days/hours.
Payment
Payments platform
modernisation
Weekly releases achieved; 30–40% productivity increase; Apple Pay and tokenisation delivered.
Payments / Challenger bank
Mettle by
NatWest
Full platform co-developed and pilot launched in under 12 months.
Cloud & FinOps
Leading Financial
Services Provider
£3m+ potential savings identified; £600k realised in initial phase.
Payments / Fintech
Fintech DevOps &
QA transformation
100% test reliability; CI reduced from 25 minutes to 7 minutes.
Wealth & Asset Management
Wealth platform
modernisation
Bug count reduced from 183 to zero; support turnaround cut
Our Team
Meet our financial services experts
Grant Ongers
Head of Security Practice
Head of Security Practice at esynergy and former Global Chair of OWASP, brings over 30 years of InfoSec experience across Dev, Ops, and Sec. He advises FTSE100 companies, start-ups, and government agencies on security strategy, risk, and compliance.
Martin French
Client Principal
Matt Curtis
Head of Data
Head of Data at esynergy, is a financial services innovator who helped build a unicorn start-up before driving data-led transformation across financial services. As Head of Data, Matt plays a central role in shaping data strategy, governance, and innovation, unlocking value through smarter insights and more responsive decision-making.
Let's talk about your
data foundations.
Whether you're a broker modernising client data ingestion, a carrier rebuilding your data platform or a reinsurer looking to bring exposure analysis into real time—we've seen the problem and we know how to solve it.
Contact us