What we offer

Risk appetite

Our experienced team can analyse, review and document your risk appetite, ensuring it is embedded within your risk management framework.

Scorecard development

We have created a sophisticated scorecard development framework that incorporates both traditional and alternative methodologies. Our approach ensures that the most appropriate methodology is used to meet the objectives for each scorecard development. Approaches include:

Expert judgement

Utilising 4most’s Knowledge Elicitation Process (KEP) through a consistent, repeatable, and objective process where there may be limited data, performance outcome, or a change in profile.

Traditional scorecards

We use logistic regression due to its transparency, effectiveness and easy-to-understand methodology for classifying risk within your portfolio.

Machine learning

Machine learning algorithms can be used where more data is available, or the target variable may be more difficult to predict. We find that these outperform traditional logistic regression scorecards. 4most’s approach considers transparency, predictiveness, and ease of implementation when considering techniques.

Monitoring and MI

4most has developed an automated monitoring suite, LUMOS, that enables standardised tracking and validation of models and strategy, allowing easy, efficient, and interactive data exploration and ‘what if’ strategy analysis.

Policy and decision (referral) rules

We identify and define key risk drivers, thresholds, and business policies to be applied within the decision platform.

Acquisition strategy

We support the statistical analysis required to inform the strategy design and help to understand interactions between the score, overall business policy, and decision rules.

Affordability strategy

4most can build affordability assessment procedures and the measurement of income and expenditure, aligned with MCOB and CONC requirements. We also build compliant governance frameworks and assess affordability risk, which we can embed within your risk management framework.

Streamlining journeys and processes

We support clients in reviewing and optimising journeys such as underwriting, data strategy, and the customer experience. This can include a thorough review of the operating model. 

Impact assessments

We test decision tools, such as policy rules and scorecards, via statistical analysis to assess strength, robustness and impact.

  More about Decision and Credit Strategy

High quality customer decisions are key for business performance. Credit and decision strategy is crucial for empowering organisations to make effective decisions to manage risk and onboard the desired profiles of customers. This includes understanding the credit worthiness and affordability of applicants through to defining the risk appetite and credit strategy.

4most has a track record in supporting clients in developing, enhancing and maintaining their credit and decision strategy. We support our clients in developing the tools and strategies to provide insight and controls to make more consistent and informed decisions.

 Why choose 4most

Unrivalled experience

We have vast experience across a range of portfolios, products, lenders and data types.

Bespoke approach

4most offer a transparent and bespoke approach to align to our clients’ requirements.

In-depth knowledge

We have experience in developing solutions across many data types and availability, including where there is no historic data.

“4most’s approach to model and strategy development considered our business needs and objectives, as well as our data and portfolio. They developed an appropriate and effective solution that worked for us.”

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