Make risks measurable

Quantitative risk management – transparent, comprehensible and robust in terms of supervisory law.

Your benefits at a glance

Quant expertise on demand

Well-founded analyses by experienced specialists

Objectivity and independence

Validations without conflicts of interest – methodologically sound and practical

Reliable decision-making foundations

Quantitative results structured for management and supervisory boards.

Confident in the audit context

Risk models and stress tests compatible for external auditors and supervisory authorities

Target group-oriented reporting

Complex relationships presented in an understandable way – clear, focused and effective.

Risk-oriented transparency

Risks are quantified, made comparable and systematically controllable.

Efficient use of resources

Relief of your internal functions through targeted external expertise

Strong position in dialogue

Clarity and structure for convincing communication with internal and external stakeholders

Our services at a glance – added value through expertise

A well-founded risk assessment is crucial for effective management and the fulfillment of regulatory expectations. Velaw supports financial intermediaries with independent quantitative analyses in areas such as market, credit and liquidity risks – comprehensible, data-based and with a focus on the essentials.

Modeling & risk measurement

Application of quantitative methods for the assessment of relevant types of risk – precise, comprehensible and methodologically sound.

Validation & independent review

Review of existing risk models and parameters – as a second opinion or as part of external requirements for model review.

Stress tests & scenario analyses

Creation of relevant scenarios for the evaluation of potential extreme situations – risk-oriented, practical and suitable for communication with decision-makers.

Reporting & decision support

Preparation of quantitative results for management and supervisory bodies – understandable, target group-oriented and relevant to action.

Velaw creates clarity in quantitative risk analysis – independent, comprehensible and always with a view to a strong position in dialogue with supervisory authorities and other stakeholders.

We move you forward - step by step.

Analyze risk profile & data situation

At the beginning, we create clarity: We analyze the business model, the risk situation and the available data sources – as a basis for a targeted quantitative assessment.

Define model framework & evaluation methodology

Together with the customer, we define the methodological foundations and modeling approaches – tailored to regulatory requirements and internal company framework conditions.

Carry out modeling & calculation

We develop and calibrate quantitative models for the evaluation of market, credit and liquidity risks – transparently documented, methodologically sound and practically implementable.

Implement validation & scenario tests

Existing models are checked for consistency, adequacy and robustness. In addition, individual stress tests and scenario analyses are carried out to map critical developments.

Prepare & report results

The results are prepared in a target group-oriented manner – clearly structured for management, the Board of Directors or external auditors – with a focus on comprehensibility and feasibility.

Integration into governance & reporting

The quantitative findings are specifically incorporated into risk reporting and decision-making processes – as a basis for sound risk oversight at all management levels.

Further development & knowledge transfer

We reflect on methodology, results and application practice, identify potential for optimization and promote internal know-how – for permanently resilient and effective risk models.

We are here for you - competent, dedicated, reliable

Whether regulation, compliance, or digital transformation – we support financial service providers with practical advice, deep industry understanding, and clear orientation. Our experience is your advantage.

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Independent Quantitative Risk Management