# Embedding a seconded data team on an equities investment desk

> A global equities investment team · Financial Services

A global equities investment team gained advanced analytics capability through a seconded QuantSpark data team, delivering proofs of concept and automating its yearly portfolio review.

## At a glance

- Engagement: 12 months

## What was the problem?

Portfolio managers and the trading team lacked advanced data analytics capabilities and wanted to implement a series of proof-of-concept data solutions to support investment theses and the retrospective review of portfolio performance, using an agile, flexible delivery approach.

## What did QuantSpark do?

QuantSpark embedded a seconded team of two to three data engineers and data analysts over 12 months, with a reinforced management layer. The team was integrated into the investment team with a shared backlog and agile ceremonies to set priorities and review results. It delivered several proofs of concept, including automating a yearly portfolio review process so the team could access insights on past investments year-round through data dashboards.

## What changed?

Faster delivery of solutions and accelerated proofs of concept through a blended team that fostered innovation and experimentation, giving the investment team access to multidisciplinary resources with the right mix of seniority.

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Canonical page: https://quantspark.ai/case-studies/seconded-data-team-equities-investment-desk
More about QuantSpark: https://quantspark.ai/llms.txt