Our Approach

We make use of a 3-step approach for financial risk optimisation

Understand the "Business Question" that Needs Answering

Start by framing the analytics problem(s) that needs solving
Zero in on the top priority areas through cost-benefit analysis
Identify relevant risks and statistically significant relationships relevant to the problem
Source all the relevant financial, risk and operational data
Consult with the client on the most appropriate solution

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Develop an integrated Financial Risk Data-Driven Model

Perform an exploratory data analysis on available data
Implement statistical / machine learning models that identify patterns, forecast financial and risk measures
Wherever possible, integrate the output models to the balance sheet and income statement
Implement data validation and reconciliation functionality
Train and back-test the models

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Deploy the Model to Production

Develop sustainable solution that allows our clients to view and re-run the model results
Create appropriate and functional user interfaces where appropriate to drive the models
Lock down the model and perform user acceptance testing
Prepare model documentation for validation purposes
Either implement model in the client’s IT environment or in the cloud

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