10x faster AI & data workflows for a leading lender with Databricks

In today’s rapidly evolving financial landscape, agility, precision, and robust compliance are imperative.

For multi-billion dollar financial services providers, the ability to leverage data for real-time decisions, optimize operations, and mitigate risk is paramount to sustaining growth and serving millions of customers effectively. Qubika recently partnered with one such leading institution, a frontrunner in digital lending, to fundamentally reinvent its core business functions through advanced data and machine learning capabilities.

This client, serving millions of customers with billions in loans and credit cards, recognized a critical challenge. Their existing infrastructure, characterized by siloed data pipelines and cumbersome machine learning (ML) model deployments, was hindering their strategic objectives. Prediction times were slow, the maintenance of R-based models was becoming unwieldy, and the inherent risks of managing sensitive financial data demanded a more robust governance framework. The need for scalable solutions, accelerated insights, and enhanced regulatory compliance was clear.

Qubika’s approach to data & AI transformation

Qubika’s strategy centered on modernizing the client’s data and machine learning pipelines, shifting from a reactive, fragmented environment to a proactive, unified, and intelligent platform. The core of this transformation leveraged the power of a modern data architecture, including technologies like Databricks and dbt Cloud, to build a scalable and auditable foundation.

A key technical foundation was the implementation of a Medallion Architecture. This multi-layered approach, Bronze for raw data ingestion, Silver for cleansed and conformed data, and Gold for business-ready, ML-prepared datasets, ensured data quality and consistency across the organization. This structured framework was crucial for supporting high-stakes financial applications, providing reliable data for everything from credit scoring to operational analytics.

Furthermore, Qubika significantly advanced the client’s machine learning operations (MLOps). By establishing Automated MLOps workflows, incorporating tools like MLflow for model tracking and GitHub Actions for continuous integration and deployment, the client could unify model deployment and establish automated monitoring. This streamlined process dramatically reduced the time and effort required to get models into production and maintain their performance, ensuring rapid response to market changes and credit risk. For a financial institution, this level of automation translated directly into faster, more consistent decision-making and reduced operational overhead.

Central to the success was also a strong emphasis on data governance. In a highly regulated sector, secure and compliant data management is non-negotiable. By implementing solutions like Databricks’ Unity Catalog, Qubika ensured that the client’s sensitive financial data was managed with integrity, traceability, and adherence to industry standards, laying a solid groundwork for auditability and trust.

Tangible impact by reinventing core business functions

The strategic overhaul spearheaded by Qubika yielded profound improvements across the client’s critical business areas:

1. First, the ability to rapidly assess customers’ creditworthiness was revolutionized. Qubika established new data pipelines and integrated sophisticated machine learning algorithms capable of analyzing diverse metrics, including customer payment histories, credit bureau reports, and specific transaction data. This deep analytical capability not only accelerated credit assessment processes by an impressive 10x in prediction time but also led to a significant reduction in default rates and improved cash flows, enabling more accurate and personalized credit decisions.
2. Second, Qubika dramatically improved customer acquisition by building robust data pipelines along the entire customer journey. This specialized pipeline gathered and analyzed data from various sources like website interactions, social media, and campaign responses, to pinpoint the most effective marketing channels. The result was a higher customer acquisition rate, reduced associated costs, and unprecedented agility in marketing, allowing for real-time data-driven adjustments to campaigns and optimized budget allocation. This initiative contributed to a 56% increase in overall velocity and a 60% decrease in cost related to data initiatives.
3. Finally, the client achieved a streamlined dispute resolution process with intelligent automation. By incorporating machine learning and advanced data visualization, Qubika enabled swift identification and analysis of transaction data. This real-time, data-driven system empowered the client’s operations team to efficiently review cases and resolve disputes, leading to faster resolution times, enhanced productivity, and significantly reduced human error.

A partnership for future-ready finance

Through this comprehensive data and AI transformation, Qubika enabled a leading financial services provider to overcome legacy limitations and build a future-ready, data-driven enterprise. The client moved from a siloed, manual environment to a unified, automated, and intelligent platform that supports faster, more accurate decisions, drives significant cost savings, and ensures robust compliance. This success underscores Qubika’s expertise in empowering financial institutions to innovate and thrive in an increasingly competitive landscape.