Fraud detection
Score card and payment transactions in real time, then send suspicious patterns into an investigation queue.
Financial services analytics UK
Stay compliant, manage risk, and make faster decisions.
Webb Systems Ltd builds fraud detection analytics, AML monitoring dashboards, credit risk tools, and regulatory reporting software for UK financial services firms.
Traceable audit trails
Configurable risk views
Core system integration
Risk control centre
Live
Open alerts24
Reviewed today86%
Data lineage100%
Exposure movement
High-value transferReview
Unusual account patternAML
Portfolio thresholdWatch
One view of material risk
Key financial analytics solutions
See the signal behind each case, account, and portfolio. The right teams get the right evidence.
Clarity matters.
AML monitoring
Combine customer due diligence with transaction monitoring and clear escalation paths for analysts.
Credit risk analytics
Support application scoring, portfolio risk reviews, IFRS 9 calculations, and explainable decisions.
Regulatory reporting
Prepare controlled returns for FCA and PRA reporting, including COREP and FINREP workflows.
Portfolio risk
Track concentration, exposure, limits, and stress scenarios against the risk appetite your firm sets.
Insurance claims
Find fraud indicators and forecast claims volumes before operational pressure builds.
Controls you can evidence
Built for UK regulatory environments
Every dashboard gives your compliance, risk, and audit teams a clear route back to source data.
Evidence stays visible.
Audit trails and data lineage
Trace each figure, change, approval, and source record across a reporting workflow.
Role-based access and masking
Give teams the detail they need while controlling sensitive customer and account data.
FCA and PRA reporting templates
Map controlled data sets to reporting structures and retain review notes for sign-off.
Explainable models
Show the factors behind credit and fraud decisions when a reviewer needs an answer.
Stress testing and scenarios
Compare portfolio outcomes under defined economic, concentration, and liquidity pressures.
Fraud detection analytics
Fraud detection in action
Score card transactions as they arrive, route high-risk activity to investigators, and preserve the reasoning behind each alert.
- Real-time scoring for unusual payment and account patterns.
- Alert queues that connect review, notes, and case outcomes.
- Integration with payment processors and case management systems.
A mid-size UK bank could use this view to target a 30% reduction in false positives through better thresholds and clearer analyst feedback.
Investigation queue24 open alerts
Repeated card attemptsManchester · 08:42
92%
Location mismatchAberdeen · 08:36
81%
Unusual transfer patternLerwick · 08:18
76%
Credit risk analytics
Credit risk and portfolio analytics
Give lending teams a defensible view of applications, exposure, and expected loss. Decisions should show their working.
- Explainable application scoring with visible contributing factors.
- Portfolio views for concentration, exposure, and limit breaches.
- IFRS 9 expected credit loss calculations and downturn scenarios.
Risk teams can compare the current book with a defined economic stress case before setting action points.
Portfolio exposureQ2 review
Lower exposureHigher exposure
Clear answers for risk teams
Financial services analytics FAQs
Start with the systems, controls, and reporting outcomes that matter to your firm.
Ask directly.
Can you integrate with our core banking system?
Yes. We can connect to core banking, payments, policy, warehouse, and case management systems through agreed data feeds and interfaces. The design starts with source quality, ownership, and refresh frequency.
How do you support FCA and PRA compliance?
We map reporting logic to controlled source data, retain audit trails, record approvals, and provide lineage for key figures. Your compliance team remains responsible for its regulatory interpretation and sign-off.
Can models be audited?
Yes. Model versions, input data, decision factors, thresholds, and outcomes can be recorded so a reviewer can follow how a score or alert was produced.
What data do we need for AML monitoring?
Typical inputs include customer and account records, beneficial ownership data, transactions, channel details, geography, sanctions results, and previous case outcomes. We confirm the useful minimum during discovery.
How long does implementation take?
A focused dashboard can be planned in weeks, while a wider regulatory or portfolio programme takes longer. Timing depends on source access, data quality, controls, model review, and user testing.
A practical next step
Strengthen your risk and compliance analytics
Tell Webb Systems Ltd where reporting, fraud, AML, credit, or portfolio decisions slow your team down. We understand UK financial regulations and speak your language.
[email protected]
Victoria Pier, Lerwick, Shetland Islands, ZE1 0AA