Quantora

Technologies for risk and investment.

For financial institutions stuck between Excel and suites too heavy for day-to-day work.

Fixed Income KPI dashboard for a scenario run

01Products

What we build.

Market scenarios on one side, instrument data on the other.

Available

Fixed Income

You load a bond portfolio, compose a rate and spread scenario, and the application values it and computes sensitivities line by line. Differences are readable at aggregate and position level alike.

  • Rate and spread scenarios, layer by layer
  • Valuation and sensitivities down to the position
  • Versioned library, reusable from one exercise to the next
Rate and spread scenario builder in Fixed Income
Building a scenario: shock layers combine and each one stays editable.
Prototype

Instrument Data

You describe the instrument record your teams expect, the tool fills it from the prospectus and qualifies every value. Review happens field by field, with the source passage alongside.

  • Instrument record defined by your teams
  • Every value qualified and tied to its source
  • Field-by-field review, with Prism on the prospectus
Instrument record review: value, qualification and source passage side by side
Record review: every value next to the source passage that justifies it.
Fixed Income results table under scenario, position by position
Fixed Income run results: valuation and sensitivities filterable down to the line.

02Methodology

Four constraints shape the products

Visible, reproducible, justifiable, and the analyst stays in control.

Assumptions live in the interface

Shocks, mappings, inclusion rules and formulas are entered and edited by the user. No calculation convention is fixed server-side.

Results are reproducible

Every valuation links back to the scenario, its version and the parameters used. A run can be replayed identically months later.

Data is justifiable

Every instrument field links back to the prospectus passage it came from, with page and extract. A value without a source is flagged as such.

AI proposes, the analyst decides

The model drafts scenarios and pre-fills fields. Nothing is saved without explicit validation and everything stays editable.

03Company

Quantora Technologies

Based in Paris, at Station F. Products designed and built in-house.

Alexandre Teyssier, founder of Quantora Technologies

Alexandre Teyssier

Founder

Alexandre spent several years working with banks and insurers on asset management, risk and regulation.

Too many teams remain stuck between Excel and suites too heavy for day-to-day work.

He founded Quantora to build rigorous tools that business teams can operate themselves.

Let’s discuss your case

Market scenarios or instrument data: describe your context and we’ll point to the right next step.

Reply within one to two business days.