Speed-up estimate Your code, measured free in two weeks.

At no cost, and on your hardware: we measure one calculation with your team and send the report. You get written findings, the gains on offer, where AAD and code generation with XAD pay back, and a fixed quote for the build.

Not ready to share code? The first step needs none: a short call with one of our engineers, and the sample report. See the sample report

What you get

  • Measurements of the code on your own hardware
  • Where the time and the cost go
  • A quantified roadmap: each change and its expected gain
  • Where AAD sensitivities with XAD would replace bumping, and how we would verify them against your bumped numbers
  • A read-out with your team, the report to keep, and a fixed quote for the build

How it runs

  • You send a representative kernel, or one pricer with one test case: not production code, and never production data.
  • By default it runs inside your bank, on your hardware: our engineer works with your team on a call, and nothing leaves the bank.
  • The two weeks start at the first working session, once the kernel builds on your machine. Before that, only a mutual NDA.

Where it pays

  • FRTB sensitivities and expected shortfall, after go-live too
  • SA-CVA capital and XVA sensitivities
  • SIMM and MVA
  • Pricing and risk libraries in C++ or Python, QuantLib

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“Our standardised-approach sensitivities went from about eight hours of compute to under one, on the same grid. That is the slack we wanted before go-live, not after it.”

Head of Market Risk Technology, European bank
Clients include
  • Deutsche Bank
  • Société Générale
  • Nomura
  • Lloyds Bank
  • Intesa Sanpaolo
  • European Investment Bank
  • European Bank for Reconstruction and Development
  • Aegon
  • aixigo
What you get

The report, in one page

The summary page of a speed-up estimate report: a fictional bank and illustrative numbers, in the format you receive. The full report covers every calculation we measure; ask about it in the form above.

Speed-up estimate report · summarySample · fictional bank · illustrative numbers
Calculation
FRTB standardised approach: daily delta and vega sensitivities
Book
42,000 trades, 120 risk factors per trade on average
Grid
1,800 cores, the bank's own scheduler
Today
9.5 h for the daily batch, against a 6 h window

Where the time goes

  • Bumped revaluations71%
  • Curve and surface builds12%
  • Data load and serialisation9%
  • Aggregation and reporting5%
  • Other3%

Roadmap

ChangeBatch time savedEffort
AAD with XAD in place of bumping, every sensitivity checked against the bumped numbers6.4 h6–8 weeks
Cache curve and surface builds across trades0.7 h1 week
Load market data once per node, binary format0.4 h2 weeks
Today9.5 h
After the roadmap2.0 h
Next stepA fixed quote for the build