Our Work: Case Studies in Data & Risk

Production implementations at the intersection of finance, risk, and technology

From enterprise data warehouses for major financial institutions to pioneering blockchain credit scoring models, our technical implementations are designed to deliver measurable, real-world impact at scale. Explore some examples of our work below.

Modern Data Platforms & Governance

We build the trusted data foundations that enable our clients to move faster, make smarter decisions, and unlock new opportunities.

Explore our Data Platform Solutions

Enterprise Data Warehouse

A Complete Digital Transformation

The Challenge

A major financial institution was operating with over 10 disconnected systems and 100+ manual Excel reports, resulting in week-old data and conflicting metrics across departments.

Server racks inside an enterprise data centre.

Our Solution

We designed and implemented a comprehensive enterprise data warehouse from the ground up, transforming their entire data ecosystem.

Architecture: A robust star schema with Slowly Changing Dimensions (SCDs) to support both historical analysis and real-time reporting.

ETL/ELT: 50+ Alteryx workflows to automate data extraction, transformation, and loading with complete error handling.

Analytics: A Power BI semantic layer with 150+ calculated measures to ensure metric consistency.

Governance: Implemented row-level security, data classification, and complete audit trails for regulatory compliance.

Impact

80%

reduction in reporting time (from 5 days to same-day).

100%

audit-ready compliance for data governance requirements.

A single source of truth

that eliminated conflicting metrics.

Event-Sourced Analytics

Real-Time Data at Scale

The Challenge

A digital lending platform needed to move from overnight batch processing to real-time analytics while maintaining complete audit trails for regulatory compliance.

Real-time analytics dashboard showing event streams.

Our Solution

We architected an event-sourced system using a modern data stack, enabling instant insights with perfect historical reconstruction.

Architecture: Implemented an immutable event log in ClickHouse capable of handling over 100,000 events per hour.

Transformation: Built 150+ dbt models with incremental processing to handle late-arriving events.

Analytics: Developed self-service analytics in Metabase with sub-second query performance.

Auditability: Enabled point-in-time reconstruction of any historical state for regulatory reviews.

Impact

60%

average decision-making time.

100%

event capture with zero data loss.

Real-time visibility

Moved from a 24-hour lag to real-time visibility into operations.

Data Governance & Privacy Excellence

The Challenge

A national credit bureau needed to implement a comprehensive data governance and privacy framework to comply with new regulations (analogous to GDPR/PDPL) while processing sensitive financial data for millions of customers.

Secure data governance and privacy framework illustration.

Our Solution

We designed and implemented a complete data privacy and governance framework that became the regional benchmark for compliance.

Privacy by Design: Built data minimisation, purpose limitation, and consent management into every system.

Access Control: Deployed attribute-based access control (ABAC) with dynamic masking based on user context and data sensitivity.

Data Subject Rights: Engineered cascading deletion and access request mechanisms across distributed systems.

Impact

100%

regulatory compliance achieved in the first audit

48h

response time for data subject requests (where regulations require 30 days).

95%

reduction in manual compliance tasks.

Credit Risk & Financial Analytics

We build the specialised models and decisioning systems that empower financial institutions to manage risk more effectively and unlock new avenues for growth.

Explore our Credit Risk solutions

Machine Learning Bureau Score

From Concept to Production

The Challenge

A national credit bureau needed to move beyond basic data provision to offer a predictive scoring model but lacked the in-house expertise to develop and deploy ML at scale.

Machine learning model pipeline producing a credit score.

Our Solution

We built a complete ML pipeline from data preparation to production deployment, creating a bureau score that became the new industry standard.

Data Integration: Combined traditional credit data with alternative sources including telecom, utilities, and trade payment behaviour.

Feature Engineering: Developed over 200 predictive features, including payment velocity, stability indices, and utilisation patterns.

Model Development: Tested multiple algorithms (XGBoost, LightGBM, Logistic Regression) with rigorous validation and selected the optimal challenger.

Monitoring: Implemented a full monitoring framework, including drift detection (PSI), performance tracking, and automated retraining triggers.

Impact

0.85 Gini coefficient

Achieved over the industry benchmark of 0.70-0.75.

100%

adoption across more than 50 financial institutions.

Sub-second scoring

Enabled sub-second scoring for real-time decisioning.

Financial Risk Models

Institutional-Grade Excel Solutions

The Challenge

Corporate lending teams required sophisticated yet accessible risk assessment tools that could handle complex financial analysis while remaining auditable and transparent for credit committees.

Corporate credit risk model spreadsheet with scenario analysis.

Our Solution

We developed comprehensive Excel-based models that balanced analytical sophistication with usability, becoming the standard for decisions on credits from $1M to $500M.

Dynamic Analysis: Built models that automatically adjust to different accounting standards and company structures.

Scenario Modelling: Integrated Monte Carlo simulations for stress testing with over 10,000 iterations.

Automated Reporting: Enabled one-click creation of credit memorandums with all supporting analysis.

Impact

60%

reduction in analysis time per credit application.

Standardised assessments

across all analysts, improving consistency.

Zero spreadsheet errors

achieved through robust validation rules.

Data Science & Machine Learning

We deploy cutting-edge AI/ML, from blockchain analytics to GenAI, to solve our clients' most complex problems and create new competitive advantages.

Explore our AI/ML solutions

Blockchain Credit Scoring

Bridging DeFi and TradFi

The Challenge

DeFi protocols needed a way to assess creditworthiness, but traditional scoring models were unable to evaluate on-chain behaviour and wallet history.

Blockchain network connecting wallets and on-chain credit signals.

Our Solution

We pioneered one of the first production blockchain credit scoring systems, combining on-chain transaction analysis with optional off-chain data sources.

Multi-Chain Data: Integrated data from Ethereum, BSC, and Polygon, including major DeFi protocols like Aave and Compound.

Blockchain-Native Features: Developed novel features for wallet age, protocol experience, liquidation history, and portfolio composition.

Privacy Preservation: Implemented zero-knowledge proof concepts for sensitive data.

Impact

50,000

scored wallets within the first year.

First-to-market

with a production blockchain credit scoring API.

New market

for under-collateralised lending in DeFi.

AI Trading Agents

Autonomous Market Intelligence

The Challenge

A crypto hedge fund needed to compete with MEV bots and high-frequency traders while managing risk across highly volatile markets.

AI agents orchestrating market data, signals, and trade execution.

Our Solution

We built a multi-agent AI system that analyses market data, generates signals, and executes trades with sophisticated, automated risk management.

Architecture: Orchestrated specialised agents for data collection, signal generation, risk assessment, and execution.

MEV Protection: Implemented Flashbots integration and commit-reveal schemes to prevent front-running.

Risk Management: Built-in algorithms for position sizing, stop-loss, and portfolio rebalancing.

Impact

2.8

Achieved Sharpe ratio in live trading.

12%

maximum drawdown maintained during significant market stress.

$5M AUM

Grew within the first 6 months.

Our technical stack

While we are technology-agnostic, we have deep expertise in a core set of modern, scalable tools.

Data Platforms

ClickHouse, Alteryx, Dataiku

Engineering

Python, SQL, dbt, Elixir

ML/AI

PyTorch, TensorFlow, XGBoost, LangChain, OpenAI, Hugging Face

Visualisation

Power BI, Metabase, Tableau

Cloud

AWS, GCP

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