INDUSTRIES / FINANCIAL SERVICES
Financial Services, transformed with intent.
From real-time fraud detection to KYC automation and core modernization, we build the systems that let banks, insurers, and fintechs move at startup speed inside regulator-grade controls.
OVERVIEW
How we work in financial services
Financial institutions face a two-front war: fintech competitors iterating weekly, and regulators demanding provable control over every model and data flow. Ilmora's financial services practice has delivered 50+ engagements across retail and commercial banking, capital markets, insurance, and payments — always with model governance, auditability, and resilience engineered in from the first sprint.
We understand the difference between a demo and a deployable system in this industry. Our teams work within model-risk-management frameworks (SR 11-7, ECB TRIM), build for PCI DSS and SOC 2 environments, and document everything to the standard your second and third lines of defense expect. That is why our banking clients renew: we ship AI that passes validation.
Measured outcomes
- reduction in fraud false positives at a top-20 US card issuer
- 63%
- reduction in fraud false positives at a top-20 US card issuer
- faster customer onboarding after KYC automation
- 4.5x
- faster customer onboarding after KYC automation
- annual fraud losses prevented in year one at a payments client
- $8.2M
- annual fraud losses prevented in year one at a payments client
- less manual effort in regulatory report assembly
- 70%
- less manual effort in regulatory report assembly
THE CHALLENGES
What's standing in the way
The problems we hear most often from financial services leaders — and the ones our engagements are scoped to solve.
Fraud that evolves faster than rules
Static rule engines generate floods of false positives while sophisticated fraud rings adapt in days. Investigation teams drown in alerts with low precision.
KYC/AML cost and backlog
Manual onboarding checks, periodic reviews, and transaction-monitoring alerts consume thousands of analyst hours, and remediation backlogs create regulatory exposure.
Regulatory reporting complexity
BCBS 239, IFRS 9, CCAR, and jurisdiction-specific reporting demand lineage-tracked, reconcilable data — often assembled today through spreadsheets and heroics.
Core systems that block change
Decades-old core banking and policy-administration platforms make every new product launch a multi-quarter integration project.
OUR SOLUTION
From constraint to capability
We attack financial-crime and compliance costs with machine learning built for the regulated context: fraud models that combine gradient-boosted and graph-based detection with explainable feature attribution, KYC pipelines that automate document verification and sanctions screening with human-in-the-loop review, and transaction-monitoring tuning that cuts false positives without widening risk exposure — every model packaged with the documentation your validation team needs.
For modernization, we favor strangler-pattern migrations over big-bang replacements: an API and event layer over the core, new products built on modern services alongside the legacy system, and data platforms that give risk and finance a single, lineage-tracked source of truth for regulatory reporting. Clients keep serving customers while the estate transforms underneath.
Real-time fraud detection
Streaming feature pipelines and ensemble models scoring transactions in under 50ms, with case-management integration and analyst feedback loops.
KYC / AML automation
Document intelligence for onboarding, perpetual KYC monitoring, sanctions/PEP screening, and alert-triage models with full decision audit trails.
Regulatory reporting platforms
Lineage-tracked data platforms and automated report assembly for BCBS 239, IFRS 9, and stress-testing regimes.
Credit risk & decisioning
Explainable underwriting models, challenger frameworks, and decision engines integrated with loan-origination systems.
Core modernization
API layers, event streaming, and strangler-pattern migration off legacy core banking and policy-admin platforms.
Model risk & governance
SR 11-7-aligned model documentation, monitoring, and validation support that gets AI through your second line.
TECHNOLOGY
The stack behind the solutions
Representative platforms and frameworks we deploy in this sector — always selected to fit your estate, not a vendor agenda.
AI / ML
- XGBoost
- PyTorch
- Neo4j (graph fraud)
- SHAP
- Feast
- MLflow
Streaming & Core
- Kafka
- Flink
- Temporal
- Java/Spring
- ISO 20022
- REST/gRPC APIs
Data & Cloud
- Snowflake
- Databricks
- AWS/Azure (regulated landing zones)
- dbt
- Airflow
- Collibra
HOW WE DELIVER
A process built for regulated reality
Five phases, each with a concrete artifact and a go/no-go decision — so you always know where the engagement stands.
- 01
Risk-aligned discovery
Quantify fraud losses, false-positive rates, or compliance costs; align scope with model-risk and compliance stakeholders from day one.
- 02
Data & controls foundation
Build the feature pipelines, lineage, and access controls the use case needs — inside your regulated cloud landing zone.
- 03
Model development & validation prep
Develop challenger models against agreed benchmarks and produce SR 11-7-grade documentation in parallel, not after.
- 04
Controlled rollout
Shadow-mode scoring, champion/challenger comparison, then graduated traffic with human review thresholds.
- 05
Monitor & tune
Drift and performance monitoring, quarterly threshold reviews, and analyst-feedback retraining loops.
USE CASES
Where clients start
Proven entry points with clear ROI — most engagements begin with one of these and expand from evidence.
Card and payments fraud scoring
Real-time ensemble scoring with graph features to catch mule networks and account-takeover patterns rules miss.
Perpetual KYC
Event-driven customer risk reassessment replacing calendar-based periodic reviews, with automated evidence gathering.
AML alert triage
ML-ranked transaction-monitoring alerts so investigators work highest-risk cases first and low-risk alerts auto-document.
Regulatory report automation
Automated assembly and reconciliation of capital and liquidity reports with full data lineage for supervisors.
FAQS
Questions we hear from leaders
Direct answers to the questions that come up in the first conversation.
RELATED SERVICES
Services behind these solutions
Ready to move the numbers in financial services?
Bring us your hardest operational problem. In a 45-minute consultation, our practice leads will map the highest-ROI starting point and a realistic delivery plan.