Industry
Payments & Fintech
A FinTech Unicorn Increases Revenue and Cuts Model Development Time 70% with a New Machine Learning Data Lake
increase in revenue through improved marketing performance and loan originations
incremental annual loan originations through analytics-driven targeting
A FinTech unicorn’s marketing team was aggregating data from multiple sources and running advanced analytics models on local machines a slow, error-prone process that took six to ten months per model and limited what the team could act on. Altimetrik partnered with the client to build a machine learning model that delivered better data faster, making the team more agile and its decisions more informed.
Rather than pursuing a large, multi-year data lake project, Altimetrik took a lean approach building just enough of a cloud-based AWS data lake to seed early machine learning models while further data enrichment continued in parallel. The result: over £1M in revenue uplift and 70% faster model development from a fraction of the usual investment.
Aggregating data from various sources without a reliable collation mechanism, and running advanced analytics models on local machines, made data matching and pairing cumbersome for the client’s marketing team. Building new data models took six to ten months by which point market conditions had often changed.
Even basic tasks like list management and analysis were manual, complex, and prone to error. A traditional ‘big bang’ data lake build would have required significant upfront investment with no guarantee of results for months or years a timeline and risk profile the business could not afford as a growth-stage unicorn.
In consumer fintech, marketing precision and loan origination accuracy compound over time: a 10% improvement in targeting translates directly into revenue and risk performance at scale. The inability to iterate quickly on machine learning models constrained by 6–10 month development cycles on local machines was a structural growth constraint that no amount of headcount could overcome.
Altimetrik took a lean approach, building a cloud-based AWS data lake with just enough data to get useful machine learning models into production quickly then continuing to enrich the data foundation in parallel as the models proved value.
A resilient data architecture was crafted from the ground up, designed to simplify adding new data sources over time. Scrum and Kanban teams delivered work in line with stringent compliance and audit requirements, ensuring the speed of delivery didn’t introduce regulatory risk.
The new data lake served as the foundation for machine learning models supporting marketing targeting, direct mail performance, and loan origination decisions translating data velocity directly into commercial outcomes.
Altimetrik challenged the assumption that better data analytics requires a big, slow data lake project. By building lean just enough data to seed useful models quickly, then enriching from there the team delivered commercial value within weeks rather than years.
The result was a faster, more resilient data foundation that translated directly into revenue, and a platform that continues to compound as new data sources are added. For a growth-stage fintech unicorn, that velocity of insight is the difference between leading and following in a competitive market.
“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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