Model Behavior Monitor

As automated systems become more involved in commercial decision making, the need for human oversight to ensure logical consistency has never been greater. The Model Behavior Monitor will support our team by reviewing and auditing the outputs of analytical models to ensure they remain grounded in financial reality.

About Blue Oak Consulting
Blue Oak Consulting provides independent advisory on pricing, portfolio economics, capital allocation, and acquisition assumptions. We are not a traditional consulting firm focused on broad transformation programs or high level strategy decks. Instead, we interrogate specific commercial decisions where the financial stakes are high and the existing narrative is not sufficient. Our team looks past corporate language and P&L complexity to identify where value is leaking or capital is trapped. We work across sectors like software, manufacturing, and healthcare to test whether the assumptions behind a growth plan or an acquisition actually hold under pressure. We are a small, principal led firm where the people who do the work are the ones accountable for the results. We do not take transaction fees, which allows us to be completely honest about whether the economics of a decision make sense. Our goal is to provide clarity through financial discipline and a healthy amount of skepticism.

The Role
Working in this part-time, fully remote position, you will be identifying where automated models diverge from expected logic or factual data. You will spend your time looking at how these systems handle complex financial inputs and flagging instances where the output feels disconnected from the actual economic drivers. This is a role for someone who naturally questions the first answer they see. The work is investigative and requires a high degree of focus, as you will be the first line of defense against errors that could lead to poor commercial advice. Because we are a small firm, you will see exactly how your observations influence the final reports we deliver to clients.

What You Will Be Doing

• Reviewing logs and outputs from financial models to identify unexpected or illogical behavior.
• Cross-referencing model assumptions against provided data sets to ensure accuracy.
• Documenting specific instances where a model produces a skewed or unrealistic result.
• Testing the limits of automated tools by inputting edge-case financial scenarios and recording the response.
• Communicating findings clearly to senior principals through structured reports and notes.
• Monitoring the consistency of model responses over time to detect gradual shifts in logic.
• Assisting with the cleanup and organization of raw data used to train or test new analytical tools.
• Participating in team discussions about why certain models might be failing under pressure.

• A high level of comfort working with numbers and complex data sets.
• Strong attention to detail and the ability to spot small inconsistencies in large documents.
• Basic proficiency in Microsoft Excel, including the use of formulas and data filtering.
• An underlying skepticism toward automated answers and a desire to understand the logic behind them.
• Clear writing skills that allow you to explain technical errors in plain, simple language.
• The ability to work independently in a fully remote environment while meeting deadlines.
• A background in finance, economics, or a related field of study is helpful but not required.
• Curiosity about how financial models work and why they sometimes fail in the real world.

• A fully remote work arrangement that allows for a flexible part-time schedule.
• Competitive pay that is attractive for an entry level role in the current market.
• Direct exposure to senior principals with decades of experience in high-stakes financial advisory.
• Training on how to evaluate commercial logic and financial assumptions.
• A professional environment that values honest analysis over corporate posturing.
• Practical experience working at the intersection of finance and new technology.
• The chance to contribute to work that has a direct impact on major corporate decisions.