Client case

Stock picking,
financial analysis & SRI

Asset management subsidiary of a French insurance company.
Universe of 8,000 companies, proprietary SRI v3 scoring methodology.

€2bnAUM
5Equity portfolios
5Equity analysts
8,000companies tracked
5 monthsto Live

Context

An asset management subsidiary of a French insurance company, managing its Equity sleeve through a team of five people covering five European and global equity portfolios with a strong SRI (v3) component.

Their investment process relies on a proprietary financial scoring methodology, enriched with non-financial and qualitative criteria.

The problem

Anonymised screenshot of the cockpit

A sophisticated methodology, but run in Excel: heavy workbooks, fragile formulas, a tracking universe limited by available compute capacity. The team was structurally monitoring a few hundred stocks at most, while their real potential universe exceeded 8,000 companies.

Needs

  • A company-level summary sheet integrating SRI and intangibles
  • A uniform scoring enabling like-for-like comparison between companies
  • Tracking trends across 8,000 companies (Global, Europe, Eurozone)
  • A search engine to detect targets on quantitative criteria
  • Management of peer groups and dynamic simulation of score changes
  • Ability to manually adjust scores at the margin

The Osmoze solution

Capabilities deployed

  • Osmoze server deployed in the Microsoft Azure cloud, with the Excel add-in and a Web extension for transverse analytics
  • Design and rollout of a dedicated Stock-Picking module
  • Custom implementation of the client's scoring methodology, integrating core, SRI and intangible criteria
  • Multi-criteria search engine across a universe of 8,000 companies
  • Management of peer groups and dynamic simulation of impact on scoring
  • Live in 5 months

Results

From Excel to a scalable cockpit, without losing any of the methodology.
Full digitalisation
of the scoring and decision process
×30
tracking universe
from a few hundred to 8,000 companies
Sharper picking
more relevant search criteria

A similar context?

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