Event-driven financial analytics platform
Prior work · US capital-markets firm (confidential)
Financial data processed as it arrives, queryable within a minute, at a fraction of the previous query cost.
An automated cloud data platform for a capital-markets firm. Data from many structured and semi-structured sources is processed as it arrives, checked for quality and made available for analysis within a minute.
Prior work. A system our engineers delivered in an earlier or concurrent role. The client is confidential, and it isn't presented as a MAUK client project.
- What it is
- Data platform
- Industry
- Financial services & FinTech
- Status
- In production
- Year
- 2026
Prior work · client confidential
Financial services & FinTech
The client's system is not shown
The problem
What needed solving
Financial analytics depended on data arriving from many sources at unpredictable volumes, and the cost of querying a large data estate grew with every question asked.
The solution
What the team built
A fully managed cloud data platform that processes data the moment it lands, checks it, and organises it so each query reads only what it needs.
Core functionality
- Processing triggered automatically as data arrives
- Reusable transformations for every source
- Data organised so queries read only what they need
- Capacity that scales with volume
- Quality checks that alert before bad data spreads
Business impact
What it achieved
80%
lower query cost
Source: the engineer's CV.
10×
faster queries
From the engineer's CV.
90%
fewer downstream data errors
After quality monitoring was added. Source: the engineer's CV.
What sets it apart
Why it works
- 01
Pay only for what you ask
Data is organised around how it is queried, which cut query costs dramatically.
- 02
Errors caught early
Quality checks raise an alert before bad data reaches reports and models.
- 03
Nothing to babysit
The platform scales itself up and down with the day's volume.
Services
Where this work fits
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