Where Data Meets Certainty

Boutique analytics firm specializing in retail finance and consumer lending. From antifraud and underwriting to collections and portfolio management -- we bring battle-tested expertise from high-volume lending operations across Asia and emerging markets.

Our Services

End-to-end analytics across the retail lending lifecycle -- from origination to collections, powered by deep domain expertise.

Scoring & Model Validation

Independent validation of retail credit risk models across the full lending lifecycle -- from application scoring to behavioral and collection models.

  • Application, behavioral, and collection scorecard validation
  • Antifraud model validation and false-positive optimization
  • Underwriting model review -- cut-off calibration, approval rate analysis, swap-set analysis
  • PD, LGD, EAD models, IFRS 9/ECL, and regulatory compliance (SR 11-7, Basel, EBA)

Antifraud & Underwriting Analytics

Protect revenue and optimize approval rates with advanced fraud detection and underwriting decision engines.

  • Fraud detection model development and validation (application, transaction, identity fraud)
  • Underwriting strategy design and policy rule optimization
  • Champion-challenger testing and A/B experimentation frameworks
  • AI/ML model governance, explainability, and bias detection

Collections & Portfolio Management

Maximize recovery and optimize portfolio performance with data-driven collection strategies and early warning systems.

  • Collection scoring and prioritization models
  • Early warning systems and delinquency prediction
  • Portfolio segmentation, vintage analysis, and roll-rate modeling
  • Recovery optimization, write-off prediction, and debt sale analytics

Predictive Analytics & Data Science

Custom ML models and analytics solutions for retail finance -- from customer lifecycle management to real-time decisioning.

  • Customer lifetime value, churn prediction, and cross-sell models
  • Real-time scoring and automated decision engines
  • Alternative data integration and feature engineering
  • CRM analytics, segmentation, and campaign targeting

Our Approach

Precision Craftsmanship

Meticulous accuracy in every data-to-insights transformation. We treat each engagement as a bespoke project demanding the highest standards of analytical rigor.

Deep Domain Mastery

Merging industry knowledge with advanced analytics capabilities. Our team brings decades of hands-on experience in retail lending, consumer finance operations, and data science across emerging markets.

Bespoke Intelligence

Custom solutions with boutique-level attention to detail. No cookie-cutter frameworks -- every recommendation is tailored to your specific context and objectives.

0+ Years Experience
0+ Models Validated
0+ Financial Institutions
0+ Countries

Industries

Deep expertise across retail finance and consumer lending markets, with a strong focus on Asia and emerging economies.

Consumer Finance & Lending

Scoring, underwriting, collections, and portfolio analytics for consumer lenders, microfinance, and BNPL providers.

Banking & Financial Groups

Retail banking risk analytics, model validation, regulatory compliance, and enterprise risk frameworks.

Fintech & Digital Lending

AI-driven credit decisioning, real-time scoring, alternative data strategies, and responsible lending frameworks.

Telco & Utilities Finance

Telco lending, device financing, credit scoring for thin-file customers, and payment behavior analytics.

Energy & Utilities

Consumption forecasting, load prediction models, pricing optimization, grid stability analytics, and renewable energy output modeling.

Retail & E-commerce

Demand forecasting, customer segmentation, pricing optimization, and recommendation engines.

Case Studies

Selected engagements showcasing the depth and breadth of our analytical capabilities.

Scoring & Underwriting

End-to-End Scorecard Validation for a Leading Asian Consumer Lender

Validated 20+ application, behavioral, and collection scorecards across cash loans, POS finance, and credit cards. Included discriminatory power assessment, calibration testing, stability analysis, and cut-off optimization impacting 30M+ active customers.

30M+ Customers Covered
20+ Models Validated
5 Countries
Antifraud

Fraud Detection Framework for a Southeast Asian Digital Lender

Built and validated a multi-layered antifraud model framework covering application fraud, identity fraud, and transaction fraud. Reduced fraud losses by 40% while maintaining approval rates through optimized decision rules and ML ensemble models.

40% Fraud Loss Reduction
8 Fraud Models
4 Months
Collections

Collections Strategy Optimization for a Multi-Country Consumer Finance Group

Redesigned collection scoring and contact strategies across 5 Asian markets. Implemented early warning models, optimized treatment allocation, and built recovery prediction models -- resulting in 15% improvement in cure rates and significant cost reduction.

15% Cure Rate Improvement
5 Markets
6 Months

Insights

Perspectives on model risk, regulatory trends, and the evolving analytics landscape.

March 2026

Scoring Thin-File Customers: Alternative Data Strategies That Work

In emerging markets, traditional bureau data is scarce. We explore proven approaches to building effective credit scores using telco, e-commerce, and behavioral data -- and the validation challenges they bring.

Read More →
February 2026

Antifraud in Digital Lending: Balancing Protection and Approval Rates

Overly aggressive fraud rules destroy conversion. We share a framework for optimizing fraud detection thresholds to maximize net revenue while keeping losses within appetite.

Read More →
January 2026

Collection Scoring: From Prioritization to Personalized Treatment

Modern collection strategies go beyond simple delinquency buckets. We discuss how behavioral scoring, contact optimization, and channel selection models can dramatically improve cure rates.

Read More →
December 2025

Model Validation in High-Volume Retail Lending: Lessons from Asia

Validating models at scale across multiple countries and product lines requires a different approach than traditional banking. We share hard-won lessons from validating 200+ retail finance models.

Read More →

Leadership Team

A team of seasoned practitioners with deep expertise across analytics, risk, and regulation.

PC

Pavel Charamza

Founder & Chief Science Officer

15+ years in retail credit risk analytics and model validation. Previously led model validation at Home Credit International across multiple Asian markets. Expert in application/behavioral/collection scoring, antifraud models, underwriting optimization, and portfolio management at scale.

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Milan Hradocky

Delivery Director

Experienced director in finance, risk management, and business strategy. Previously Director at PwC (Finance & Risk Advisory) and Manager at Deloitte (Financial Services Advisory). Specializes in digital business models, performance management, and FinTech/Real Estate projects.

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Pavel Novak

Partner, Business Strategy & Digital

Co-Founder of Skygena and ADDVERY. Former CEO of Zonky (peer-to-peer lending) and VP of Operations at Eldorado. 15+ years driving digital transformation, CRM strategy, and data-driven business models across FinTech, retail, and e-commerce in CEE markets.

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Adam Beran

Data Analyst

Statistical and AI modeling specialist with hands-on project experience in financial services, predictive analytics, and social network listening. Combines strong quantitative skills with practical business insight to deliver actionable data solutions.

Regulatory & Industry Expertise

IFRS 9 Expected Credit Loss
Basel IRB Internal Ratings-Based
SR 11-7 Model Risk Guidance
BSP / BI / BOT Asian Central Banks
Responsible AI Fair Lending & Explainability
AML / KYC Anti-Money Laundering

Let's Discuss How We Can Help

Ready to elevate your analytics capabilities? We'd love to hear about your challenges.

Thank you for your inquiry. We will be in touch shortly.

Office

Revoluční 1082/8
Nové Město (Praha 1)
110 00 Praha
Czech Republic

LinkedIn

Statiston