
Credit Risk & Financial Analytics
Make faster, smarter, and more profitable risk decisions
For organisations where credit and financial risk are core to the business, our solutions provide the specialised expertise required to build robust, compliant, and high-performing decisioning systems. We combine deep domain knowledge with advanced analytics to help you approve more creditworthy customers, reduce losses, and operate at the speed of modern business.
The problem:
Outdated risk practices are holding you back
In the high-stakes world of lending and finance, legacy approaches to risk management create significant challenges.

High Decline Rates
You are forced to reject profitable customers because your current models are too conservative or cannot handle thin-file applicants.
Slow, Manual Decisions
Your teams are losing customers to faster, digital-native competitors because your decisioning processes take days, not seconds.
Rising Default Rates
Despite conservative lending practices, you are seeing an increase in portfolio losses, indicating your models are not capturing modern risk signals.
Inconsistent Application of Policy
High rates of manual overrides and a lack of clear, data-driven rules lead to inconsistent and biased credit decisions.
Hidden Compliance Gaps
Without clear lineage and governance, you can't satisfy regulators or prove the integrity of your data.
What we build for you

Advanced Credit Models
We develop a full spectrum of models, from traditional, highly explainable scorecards for regulatory compliance to high-performance ML models (XGBoost, Neural Networks) that deliver superior predictive power.
Modern Decisioning Platforms
We build the core infrastructure for speed and consistency, including real-time scoring APIs, feature stores with hundreds of curated credit-specific variables, and robust A/B testing frameworks.
Comprehensive Risk Governance
We provide the documentation and validation required for regulatory approval, including fairness and bias testing (e.g., disparate impact analysis), performance monitoring dashboards, and model risk management frameworks aligned with standards like SR 11-7.

IFRS 9 & ECL Solutions
We offer specialised expertise in building and validating models for Expected Credit Loss (ECL) provisioning, ensuring you meet accounting and regulatory requirements.
How we deliver specialised risk solutions
Our approach is tailored for the rigorous demands of financial services, ensuring that solutions are not only powerful but also transparent, auditable, and compliant.

Portfolio analysis and data deep-dive
(Weeks 1-2)
We begin with a thorough analysis of your current portfolio performance, decisioning workflows, and data assets to identify the highest-impact opportunities. Deliverable: Portfolio health assessment with prioritised opportunity roadmap.

Feature engineering for risk
(Weeks 3-4)
We develop hundreds of predictive features by combining traditional credit data with alternative sources, creating the rich signal needed for modern risk assessment. Deliverable: Feature store with 200+ credit-specific variables and data quality framework.

Rigorous model development and validation (Weeks 5-6)
We train multiple algorithms and conduct rigorous statistical, business, and regulatory validation to select the optimal model for your specific risk appetite and commercial objectives. Deliverable: Validated champion and challenger models with full audit documentation.

Production deployment and integration (Weeks 7-8)
We deploy the validated model within a robust, scalable architecture, integrate it with your existing loan origination or underwriting systems, and establish comprehensive monitoring. Deliverable: Production API, A/B testing framework, and real-time monitoring dashboard.
Increase profitable approvals by 10-15% at the same risk level.
Reduce decision times by over 90%, from days to minutes.
Lower default rates by up to 20% through more accurate risk detection.
Cut manual overrides by over 50%, ensuring consistent policy application.
Production-ready credit scoring models and decisioning APIs.
A complete feature engineering pipeline for credit data.
Real-time monitoring dashboards for model performance and portfolio health.
Audit-ready documentation for regulators and internal validation teams.
The ability to confidently approve thin-file segments that competitors must decline.
A consistent, explainable, and fully auditable decisioning framework.
A continuous improvement engine to keep your models at peak performance.
What you get: A durable competitive advantage in risk management



