Issuu

FINANCIAL MODELING

The human edge in finance: Judgment, ethics and the responsibility of the modeler Ian Schnoor, CFA

Financial models sit at the centre of decision-making in finance. They inform investments, shape strategy and guide critical business outcomes. But models do not make decisions. People do.

pressure environments. Deadlines are tight, and expectations are high. In some cases, there may be an implicit desire for the model to support a particular outcome. This is where ethics matters.

As artificial intelligence becomes more embedded in financial workflows, the mechanics of modeling are changing quickly. Tasks that once required hours can now be completed in minutes. Models can be generated, populated and updated with increasing speed. What is not changing is the responsibility that comes with using them. At some point in every finance professional’s career, the work stops being theoretical. You are no longer building a model for practice or analysis. You are building something that will inform a real decision: A transaction. An investment. A recommendation. In that moment, the question is not just whether the model works. It is whether you are prepared to stand behind it.

These are not mechanical decisions. They require judgment. Two professionals can build technically sound models and arrive at very different conclusions, simply because they approached the assumptions differently. One may take a conservative view; another may be more optimistic. One may test downside scenarios rigorously; another may not. The difference is not technical ability; it is the quality of thinking behind the model.

That means: • Being transparent about assumptions • Clearly communicating risks and limitations • Avoiding unnecessary complexity that obscures understanding • Taking ownership of the output, regardless of how it was generated

As AI tools become better at generating models, this distinction becomes more important. Less time may be spent building formulas. More time must be spent asking:

The growing use of AI in modeling increases this responsibility. If a model is partially generated by a tool, the professional must still stand behind it.

Do the assumptions make sense? Are the relationships realistic? What could go wrong?

Your client will still ask why. Your team will still expect you to explain every number. “The model built itself” is not an answer.

The question is no longer just, “Can I build this model?” It becomes, “Do I trust it?”

Judgment: More than a technical skill Every financial model is shaped by a series of choices. What assumptions should be used? Which drivers matter most? How should uncertainty be reflected?

An ethical professional does not use a model to justify a decision that has already been made. They use it to inform the decision.

Ethics: The responsibility behind the numbers Financial models influence real decisions. With that influence comes responsibility.

Technology does not reduce accountability. It reinforces it.

Influence: From analysis to action A financial model, on its own, does not drive action. Its impact depends on how it is used.

Finance professionals often work in high-