Client Work

Proven Results at
Global Scale

Over a decade of delivering AI and data solutions for leading financial institutions, energy companies, healthcare organisations, and global consultancies.

Tier 1 investment bank case study
Tier 1 Investment Bank Financial Services

Real-Time Trade Surveillance at a Tier 1 Investment Bank

Ruvca designed and deployed a machine learning–based market abuse surveillance system for a Tier 1 Investment Bank's equities desk. Processing millions of orders per day, the system flagged statistically anomalous trading patterns with a 40% reduction in false positives compared to the rule-based predecessor.

Anomaly Detection Python / Spark MiFID II Compliance

Result: 40% false-positive reduction · 5× throughput vs legacy system

Global Capital Markets Bank Financial Services

Intelligent Trade Reconciliation at a Global Capital Markets Bank

The client's middle-office team was spending hundreds of analyst-hours per month manually investigating trade breaks. Ruvca built an NLP and ML pipeline that automatically classifies break types, predicts root causes, and routes to the right resolver — reducing resolution time by 60%.

NLP Classification Process Automation Capital Markets

Result: 60% faster resolution · 300+ analyst-hours saved per month

Global capital markets bank case study
Global energy major case study
Global Energy Major Energy

Predictive Maintenance for a Global Energy Major

Unplanned downtime on upstream assets costs tens of millions per incident. Ruvca's team built time-series anomaly detection models on sensor data from the client's production assets, enabling maintenance teams to act before failures occur rather than responding to them.

IoT / Sensor Data Time Series ML Predictive Maintenance

Result: 35% reduction in unplanned downtime events · 8-month payback

Major UK Retail Bank Banking

Customer Churn Prediction at a Major UK Retail Bank

Ruvca built a customer attrition prediction model for a Major UK Retail Bank's retail division. The model identifies at-risk customers 90 days before likely churn, enabling the retention team to intervene proactively with targeted offers — delivered at a scale impossible through manual analysis.

Churn Prediction XGBoost / SHAP Retail Banking

Result: 22% improvement in retention rate · £4.2M annual revenue protected

Major UK retail bank case study
Global Fixed Income Asset Manager Asset Management

Alternative Data Pipeline: Global Fixed Income Asset Manager

Built a real-time alternative data ingestion and signal extraction pipeline for a global fixed income asset manager's strategies — processing satellite imagery, shipping data, and web-scraped macro indicators.

NLP · Alternative Data · Real-time Pipelines

Hedge Fund

Systematic Strategy Research: Boutique Systematic Hedge Fund

Developed a factor research and backtesting automation platform for a boutique hedge fund's systematic trading team, reducing research cycle time from weeks to days.

Quantitative Finance · Python · MLflow

Global Technology Consultancy Technology

AI Practice Enablement: Global Technology Consultancy

Ruvca delivered AI capability uplift for a global technology consultancy's UK banking practice, including tooling, methodology, and hands-on delivery acceleration for five concurrent client engagements.

AI Enablement · Team Augmentation · Delivery

Major US Health Insurer Healthcare

Claims Automation: Major US Health Insurer

NLP-based medical claims classification system that automatically codes and routes claims with 94% accuracy — eliminating the most repetitive tier of manual review.

NLP · Claims Processing · Healthcare AI

Investment Banking

Risk Analytics: Bulge Bracket Investment Bank

Delivered advanced portfolio risk analytics infrastructure for a bulge bracket investment bank, including real-time VaR computation and multi-asset stress testing frameworks.

Risk Analytics · Portfolio Modelling · Real-time

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