Quantitative services / specialist research
Fixed Income & Interest Rate Derivatives Analytics
Research interest-rate exposures, term structures and derivative models with reproducible numerical evidence.
The question
What needs to stand up to scrutiny?
Interest-rate analytics depend on curve conventions, collateral assumptions, market-data quality, model choices and numerical implementation. Sensitivity figures without their methodology are difficult to compare or govern.
Research and assessment scope
Problems we can examine.
Every engagement requires an agreed use case, available inputs and reviewable acceptance criteria.
Analyse valuation diagnostics for bonds, swaps or other in-scope rate-linked products.
Decompose key-rate or parallel sensitivities and investigate scenarios and stress responses.
Compare model specifications, calibration diagnostics and numerical stability.
Methodology
A clear sequence of evidence.
The activities below describe potential scope rather than completed work or guaranteed outcomes.
/01
Specify instruments and conventions
Define tenors, day counts, cash-flow conventions, market data, discounting and valuation dates.
/02
Build traceable analytics
Establish independently checkable curve construction and pricing calculations.
/03
Challenge sensitivities
Compare analytic and numerical risk measures where appropriate and test stress assumptions.
/04
Document the boundaries
Record uncertainty, model limitations, numerical tolerances and reproducibility conditions.
Illustrative deliverables
Evidence you can inspect.
Outputs depend on the defined mandate. They are not representations of historical client performance, live signals or a regulated financial service.
- Market-data and curve construction specification
- Rate model and pricing diagnostics
- Sensitivity and stress-scenario evidence
- Numerical implementation and reproducibility notes
- Scope-specific technical research report
Who this may suit: Treasury teams, quantitative developers, institutional research groups and risk teams with well-defined fixed-income or rates problems.
Common questions
Before defining a mandate.
Do you trade bonds or derivatives on a client's behalf?
No brokerage, order execution, discretionary management or investment advice is represented by this page.
Which rate models are covered?
The choice depends on the instrument, market data, assumptions and mandate; no one model is claimed to fit every product.
Can an existing curve or pricer be reviewed?
An assessment can be scoped around data conventions, numerical controls, benchmark calculations and validation evidence.
These are examples of potential quantitative research, validation or engineering work. No performance, regulatory approval, customer engagement or live financial product is implied. Availability is assessed individually and any permitted delivery requires the appropriate agreements and authorisations.
Discuss a specialist mandate
Start with your model, strategy or analytical question.
Describe the objective, instruments, available data, timing assumptions and constraints. We can discuss an appropriate evidence-led scope.