finance, risk and data
Our services
Treasure & ALM
We bring you in-depth knowledge and proven expertise with respect to Treasury & ALM:
- ALM Strategy and Governance: Target Balance sheet design, Risk Appetite setting, Funds Transfer Pricing, ALCO setup and decision frameworks.
- Risk Measurement and Analytics: IRRBB, Liquidity Risk metrics, Behavioural modelling, scenario design.
- Regulatory & Compliance: IRRBB framework implementation, ICAAP/ILAAP.
- Technology & data enablement: ALM system selection and implementation, Data architecture & data quality frameworks, model integration (Risk + Finance + Treasury), automation of reporting and dashboarding.
Risk Management
For CROs, this requires a risk function that is both rigorous and forward-looking:
- From risk appetite and governance design to supervisory preparation, model development and business cycle alignment.
- With deep knowledge of the regulatory landscape — including SREP, IRRBB, IFRS 9 and broader ECB and DNB requirements.
- With extensive experience in preparing and navigating OSI and JST interactions.
- All this cumulates in helping you build a credible, well-rounded integrated risk management function.
Accounting and Reporting Optimization
- Reporting analysis and requirement definition: to comply with IFRS, multiple GAAP, and regulatory frameworks such as Basel, Solvency II, and ECB/DNB. We align financial, regulatory, and management reporting requirements to reduce fragmentation and overlap.
- Regulatory compliance and reporting design: design consistent, controlled, and auditable reporting processes and reporting chains.
- System implementation and reporting transformation: Support the implementation and optimization of financial accounting and reporting solutions, embedding regulatory and accounting requirements into scalable solutions.
- Sustainable finance and ESG: translate ESG and sustainable finance requirements into integrated data models and reporting processes.
- Regulation interpretation and impact definition: interpretation of regulatory requirements such as IFRS, Basel, Solvency II and ECB/DNB expectations, and translating these into concrete implications for data, processes, systems, and operating model, while identifying opportunities for simplification and alignment.
Data Oversight
- Data architecture: design and implementation of data architecture for all of finance & risk as well as domain-specific challenges, including assets like functional frameworks and design principles, and in line with data regulations, e.g., BCBS239.
- Data governance: Definition of the roles, responsibilities, procedures and organization to ensure that your data is being managed as efficiently and strictly as possible.
- Data modelling: definition of conceptual, logical and physical data models, tailored to the needs of the end users and their process. Including data definitions and alignment with the data governance.
- Data integration: integration of data across finance, risk, and business functions to achieve reconciliation by design and a low effort, maximum result process.
Want to know more?
We like to talk about our business and how we can help you!