Christiaan Roos - Systems architect and co-founder

Christiaan Roos

Systems architect, financial econometrician and co-founder of Goldflux.

Christiaan designs data, risk and AI systems for organisations where decisions need to remain explainable, testable and workable in practice.

Professional focus

Systems where calculation, decisions and control meet

For more than fifteen years, Christiaan has worked where quantitative models, technology and operational delivery come together. His experience spans banking, insurance and other regulated environments.

Architecture and integration He designs systems that connect data, calculation logic and workflows without hiding the assumptions that make them work.

Risk and financial models His work includes IFRS 17, IFRS 9, Solvency II and Basel III, as well as model validation, reporting and scenario-based analysis.

Data, AI and automation He applies AI where it improves analysis, documentation or repeatable work, with clear inputs, validation and human oversight.

Delivery across disciplines Christiaan works between policy, actuarial teams, IT and business stakeholders to turn complex requirements into implementable systems.

How he works

Technology is useful only if people can understand and operate it

Christiaan approaches architecture as a decision system: make the mechanism explicit, apply controls where they matter, then test whether the outcome holds in practice.
Make decisions traceable
Inputs, assumptions and transformations need to be visible enough to review when a result is questioned.
Validate before scaling
A contained implementation with automated checks provides a stronger foundation than broad automation without evidence.
Translate across disciplines
Technical design must remain meaningful to the people accountable for policy, models, operations and delivery.
Keep scope honest
Clear boundaries, ownership and fallback behaviour make a system easier to improve without creating hidden risk.

Selected experience

From quantitative models to integrated systems

Experience across financial reporting, risk, data and delivery in regulated environments.

At Goldflux

Turn complex questions into manageable systems

At Goldflux, Christiaan brings this background into work on strategy, systems and ventures around technology, decision-making and long-term value.

Start with the underlying decision The first question is usually not which tool to use, but which decision, process or source of uncertainty needs to become clearer.

Build on what already works A useful system connects to real data, existing workflows and the people responsible for the outcome.

Design for controlled implementation The Goldflux approach combines a practical pilot with explicit criteria for quality, control and ownership.

Keep the long term in view Systems need to remain maintainable as teams, regulations and priorities change. That is why implementation starts with structure rather than scale.

Education and technical foundation

Grounded in econometrics, risk and engineering

His professional foundation combines quantitative training with hands-on software, data and delivery experience.
Financial econometrics
M.Sc. in Financial Econometrics from the University of Amsterdam.
Financial Risk Manager
FRM certification from GARP, complemented by practical work in model risk, financial reporting and validation.
Software, data and DevOps
Experience with C#, Python, SQL, R, Azure DevOps, Kubernetes and automated testing in production-oriented environments.
AI architecture and validation
Practical work with LLM integrations, knowledge assistants, prompt and tool design, monitoring and validation.
Professional focus and working approach

About Christiaan

What does Christiaan focus on at Goldflux?
Christiaan works on the architectural side of Goldflux: clarifying the decision behind a question, structuring the relevant data and process, and shaping a system that can be tested and managed over time.
Which organisations and environments has he worked in?
His professional experience includes banking, insurance, energy trading and public-sector risk work. Much of it has involved regulated or control-sensitive environments where calculation logic, documentation and auditability matter.
How does his risk background influence AI work?
It makes validation, traceability and clear ownership central from the start. AI can support analysis and repeatable work, but it should not obscure assumptions or remove accountability from the people making decisions.
Does he work only in financial services?
No. Financial services shaped much of his experience, but the underlying work applies more broadly where organisations need to connect complex data, processes and decisions in a controlled way.

Discuss a system, data or AI question

If you are working through a complex process, a difficult implementation choice or an AI use case that needs structure, start with a focused conversation.