Case Studies

Real Results from Data Science Consulting

Selected engagements across energy, credit risk, GenAI, and operational analytics. Each case study demonstrates our approach: technical rigour, governance discipline, and commercial impact.

Energy Price Forecasting Model

The Challenge

A European energy trading firm needed better short-term price signals for gas and power markets. Their existing models were slow, lacked weather integration, and couldn’t capture supply-demand fundamentals effectively.

The Outcome

15–20% improvement in day-ahead price forecast accuracy
Automated daily forecasts delivered to trading desk by 8am
Scenario analysis capability enabling rapid response to market events
Full documentation for internal model governance and audit trails
Trading signals integrated into existing execution systems

“Kassriel Quant built us a forecasting system that actually works in real market conditions. They understood our fundamentals-driven approach immediately and delivered something our traders trust and use daily. — Head of Quantitative Analysis”

Application Scorecard for Digital Lender

The Challenge

A fast-growing digital lender faced stagnating approval rates while maintaining acceptable risk levels. Manual underwriting created bottlenecks, and their existing rule-based system couldn’t scale.

The Outcome

8–12% increase in approval rates at constant risk levels
Manual review rate reduced from 18% to 6%
Model passed Model Risk Committee with no conditions
Full documentation accepted by internal audit
Deployed within 2 weeks of final sign-off

“Kassriel Quant’s team built our application scorecard from scratch in 12 weeks—fully documented, regulator-ready, and delivered a 10% uplift in approvals. The engagement included comprehensive governance documentation and Model Risk Committee sign-off.
— Chief Risk Officer, UK Fintech Lender”

IFRS9 PD Models for Point-of-Sale Lender

The Challenge

A high-growth point-of-sale lender faced auditor pressure to move from simplistic roll-rate methods to IFRS9-compliant models. With no existing PD, LGD, or EAD models, they needed a complete IFRS9 framework.

The Outcome

5–8% reduction in preventable credit losses through more accurate provisioning
Models signed off by external audit with no qualifications
Improved capital efficiency – More accurate provisions released capital for growth
Regulatory-ready framework – Prepared for future FCA/PRA scrutiny
Team trained on IFRS9 ongoing monitoring and recalibration

“We brought Kassriel Quant in to validate our IFRS9 models ahead of external audit. Their challenger models identified two weaknesses in the existing PD calibration that we hadn’t spotted, improving audit readiness and reducing regulatory risk.
— Senior Manager, Risk Consultancy”

GenAI Document Intelligence for Insurance

The Challenge

A UK insurer processed thousands of policy documents, claims forms, and regulatory submissions manually. Processing times were slow, costs were high, and errors crept into high-volume tasks.

The Outcome

40% reduction in document processing time
30% lower operational costs for document-intensive workflows
99.5% classification accuracy on held-out test set
Full governance approval from model risk and compliance teams
Scalable platform – Now being extended to other business units

“Kassriel Quant built us a document intelligence system that transformed how we process policy submissions and claims. The accuracy was exceptional, but what really impressed us was their approach to governance—they built compliance and audit trails into the system from day one. Our Model Risk team approved it with zero conditions, and it scaled seamlessly across our operations.
— Chief Risk Officer, UK Insurer”

Demand Forecasting & Route Optimisation

The Challenge

A mobility and logistics company faced frequent product shortages, high delivery costs, and fraud losses. Their existing forecasting methods were simple averages that couldn’t capture demand patterns.

The Outcome

28% reduction in product shortages
12% reduction in delivery costs
£850K annual loss prevention through fraud detection
1.8% false-positive rate (industry-leading)
Forecast error reduced from 20% to 10% (energy/retail analytics)

“Kassriel Quant transformed our supply chain. They didn’t just deliver forecasts; they built a complete operational analytics platform that our teams trust and rely on daily. The fraud detection alone saved us £850K in year one, but the real value was having a strategic partner who understood both the technical complexity and our business constraints. — Operations Director, Grace Rides Ltd”

Collections & Recovery Optimisation

The Challenge

A debt purchase and collections firm used a one-size-fits-all collections approach, leading to recovery rates below industry benchmark. They needed segment-specific strategies.

The Outcome

“Kassriel Quant helped us move from a one-size-fits-all collections approach to intelligent, segment-specific strategies. They improved our recovery rates by 15–20% while reducing contact costs. What set them apart was their rigor—every segmentation decision was documented, validated, and audit-ready. They elevated our collections function to be more strategic and compliant.
— Managing Director, Debt Purchase & Collections Firm”

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