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Industries Financial services

Financial services

Every figure checked before anyone asks for it.

Funds and financial firms run on files from brokers, custodians and administrators, each in its own format. We bring them into one trusted place and automate the reconciliations, reports and documents built on top.

The City of London skyline across the Thames
The industry

Where the data lives.

Operations teams spend the first hours of each day loading files, reconciling positions and rebuilding cash. The logic often lives in spreadsheets and legacy tools only a few people understand.

Who we work with Operations, treasury, finance, investor relations and compliance teams.

The data challenge

Where data gets in the way.

Every counterparty sends a different file.

Layouts change without notice and break the morning's reports.

Cash and margin are rebuilt by hand.

Each broker applies its own rules, so the true position is known late.

Investor documents repeat themselves.

Due diligence questionnaires ask the same questions with this quarter's figures.

Critical logic sits in legacy tools.

Hard to audit, hard to change, and dependent on a few people.

How Jambo Labs helps

What we build.

01

One platform for every feed

Broker, custodian and trade files loaded as they land, with format changes caught.

Snowflake · dbt · event-driven loading

02

Treasury and margin, live

Cash available and margin by broker and fund, recalculated when a trade arrives.

rules engines · reconciliation

03

Documents drafted from checked data

Questionnaires and investor letters drafted from approved answers and live figures.

document AI · approval workflow

Interactive demo

From overnight files to the month, in 90 seconds.

Six brokers, six file layouts, six rulebooks. Watch the system load the files, read the rules, find the shortfall, place a trade and check every statement.

A contained demo on invented data. Nothing you do here leaves the page.

Techniques in this demoData pipelinesStep 1, Overnight: each broker file loaded as it lands, layout changes held.PDF-to-rules extractionStep 2, Rulebook: a margin methodology read into a rule table.ReconciliationStep 5, Close: our figure against every broker statement, gaps explained.Margin optimisationStep 4, A trade: the broker needing least margin found at the moment of the trade.Treasury analyticsStep 3, Morning: cash posted against requirement by broker and fund.
Also possible

Where the same data goes next.

  • Cash forecasting across brokers and funds for the week ahead.
  • Investor and regulatory reporting drafted from the same checked data.
In practice

What our team has done before.

Work our team has delivered across their careers. Clients are anonymised.

Data platforms & engineering
Every prime broker in one table

Broker and repo files loaded as they land, with changes in layout caught, for an investment fund.

AI products & automation
Questionnaires drafted from checked data

Due diligence answers drafted from an approved library and live figures, with gaps left for a person.

Where to start

Start with the morning. We map the files, the spreadsheets and the people behind your first three hours, and show what to automate first.

The two-week diagnostic
Start a conversation

Tell us the report your team rebuilds every month.

No pitch. We will show you what your own records could already do.

Talk through your use case

Photo: City of London skyline from Tower Bridge, VirtuallyLondonBecky, CC BY-SA 4.0.