Key Outcomes

40%

higher scrum-team release velocity through agile maturity and DevOps uplift

36%

improvement in risk-assessment and direct-mail targeting accuracy

83 members

improvement in risk-assessment and direct-mail targeting accuracy

Executive Summary

A growing fintech lender partnered with Altimetrik to build a world-class data platform aimed at maximizing loan originations, minimizing risk provisioning, and scaling for growth. The existing organization had inconsistent agile maturity and no established data science practices to build on creating a dual challenge of process transformation and platform capability.

Altimetrik rapidly assembled an 83-member team across data engineering, data science, product engineering, and Salesforce engineering, and took a holistic approach to the client’s data platforms filling gaps in DevOps and quality engineering while introducing machine learning-driven risk assessment. The result: 40% higher release velocity and 36% improvement in risk accuracy.

Client Snapshot

Industry
Payments & Fintech
Client Profile
Growing Peer-to-peer Fintech Lender Without Established Data Science Practices, Inconsistent Agile Maturity, and No Machine Learning-driven Risk Assessment
Business Focus
Data Platform, ML Risk Assessment, Agile Transformation, Loan Origination Analytics, Globally Scalable Architecture

Business Challenge

While some teams within the client’s existing IT landscape were familiar with agile ways of working, others were maintaining an outdated SDLC. Key elements of a mature DevOps practice particularly quality engineering automation were missing, limiting the release velocity the business needed to keep pace with a competitive lending market.

From a data analytics and data science perspective, no proven solutions or use cases had been established. The organization had no clear path to turn its data into better lending and risk decisions, leaving it reliant on manual analysis, slower decision cycles, and higher risk provisioning than a data-driven competitor would carry.

Why It Mattered

In P2P lending, risk assessment accuracy and loan origination velocity are the two most important competitive levers. An organization without machine learning-driven risk models and without consistent release velocity is at a structural disadvantage it lends slower, prices risk less accurately, and responds to market changes more slowly than data-driven competitors.

Solution

Altimetrik took a holistic look at the client’s data platforms, data management approach, and use of data for business outcomes, then scaled a team to match the ambition. A 20-member team was ramped in month one; 63 more were added over the next three months, forming six data-engineering, two data-science, three product-engineering, and four Salesforce-engineering scrums.

Machine learning was applied to risk assessment to reduce bad loans and payment delinquency. Visualization capabilities were built to support interest-rate decisions, predictive-uptake models, and what-if analyses giving business teams direct access to the data that drove their decisions.

The platform was built for globalization from the start, spanning multiple regulatory environments, operating processes, and business cultures so the client could scale into new markets without rebuilding the data foundation.

Business Outcomes

Delivery Velocity

  • 40% higher scrum-team release velocity through agile maturity and DevOps uplift
  • 83-member team ramped across 8 skill classes within 4 months

Risk Intelligence

  • 36% improvement in risk-assessment and direct-mail targeting accuracy
  • Machine learning-driven risk models reducing bad loans and payment delinquency

Platform Scale

  • Globally scalable data architecture spanning multiple regulatory environments
  • Predictive models and what-if analytics embedded in day-to-day lending decisions

Altimetrik Advantage

Altimetrik paired rapid, skilled team assembly with a holistic view of data ensuring analytics got embedded in day-to-day business decisions rather than isolated in a specialist team. The result was a more scalable platform and measurably faster, more accurate lending decisions in the same engagement.

As the client continues to grow across new markets and regulatory environments, the same holistic data foundation positions it to keep pace without rebuilding from scratch because the architecture was designed for globalization from day one.

Amit singh

“Amit Singh is the Chief Strategy Officer and Chief of Staff to the CEO at Altimetrik, where he drives corporate strategy, growth acceleration, and value creation through transformation initiatives. In this dual role, he partners closely with leadership teams, investors, and the board to align business strategy with sustained, technology-driven growth.

With over two decades of experience at the intersection of technology, business, and transformation, Amit brings a unique perspective on how organizations can innovate and adapt in a rapidly evolving digital landscape. His career has been defined by building high-performing teams, scaling innovative platforms, and driving organizational change to deliver lasting impact.

Before joining Altimetrik, Amit held senior leadership roles at Visa, where he led technology strategy, engineering, and product development for Real-Time Payments and the Visa Developer Platform. Earlier, he served as Chief Product Officer at a startup and spent more than a decade at Oracle, leading product and engineering teams across a wide range of enterprise software applications.”

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