QSQuantSpace

Quantitative Finance

Live

QuantSpace Concentration Risk Engine

Live Streamlit model for portfolio concentration risk diagnostics and exposure interpretation.

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Problem

Portfolio and risk teams need fast visibility into concentration risk without relying on ad hoc spreadsheets and manual exposure checks.

Solution

A deployed model app that surfaces concentration diagnostics, exposure summaries, and portfolio risk context.

Users

  • Risk teams
  • Portfolio managers
  • Compliance teams
  • Investment committees

Business Model

Model demonstration, subscription analytics access, internal risk tooling, and institutional licensing.

Contact

george@quantspace.co.za

Architecture

Streamlit analytics application with Python data processing, concentration calculations, portfolio inputs, and dashboard outputs.

Technology Stack

  • Python
  • Streamlit
  • Pandas
  • Risk analytics
  • Portfolio diagnostics

George's Role

Product architect and builder responsible for product framing, analytics workflow, and deployed model positioning.

Live Models

Deployed quantitative model apps

Proof Points

  • Live deployed model app available for review.
  • Turns portfolio concentration analysis into a repeatable product workflow.
  • Backed by a dedicated GitHub repository and deployable Streamlit architecture.

Roadmap

  • Add richer portfolio import workflows.
  • Expand threshold, alerting, and reporting features.
  • Package outputs for governance and committee reporting.

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