We’re looking for a seasoned Application Scoring Specialist (8+ years’ experience) who thrives at the intersection of data science, credit risk, and business strategy. If you have a strong track record in scorecard development, feature engineering, and reject inference, and enjoy mentoring the next generation of Analysts while influencing executive stakeholders, this role is for you.
 
What You’ll Do: 

• Lead the design, development, and peer review of application scorecards, including reject inference.
• Drive feature engineering initiatives to unlock stronger model performance.
• Bring cross-industry insights to credit decisioning strategies.
• Innovate in low-data environments (particularly SME lending) with predictive solutions.
• Mentor and develop Junior Analysts, while influencing senior business leaders.
• Provide thought leadership in model governance and best practice.
• Spearhead the development of PD models and contribute to behavioural model enhancements.
• Present complex technical concepts in clear, strategic terms at executive level.

 
What You Bring: 

• 8+ years’ hands-on experience in application scoring & credit risk modelling.
• Expertise in scorecard development, reject inference, and model validation.
• Strong skills in feature engineering and data pre-processing.
• Proven ability to deliver robust models in data-scarce environments.
• Proficiency in SAS (essential) and experience with Paragon Modeler (advantageous).
• A Degree in Mathematics, Statistics, Mathematical Statistics, or Engineering.
• Strong communication and leadership skills—able to mentor and inspire, but also influence at a boardroom level.

 
Preferred Extras: 

• SME lending or alternative credit scoring experience.
• Familiarity with machine learning in scoring contexts.
• Experience generating new features for advanced modelling.
• Agile, cross-functional team experience.

 
If you’re passionate about scoring, thrive on solving complex data challenges, and want to influence the future of lending across industries, this is your chance.
 
Apply now!
 
For more exciting Actuarial and Analytics opportunities, please visit: Network Recruitment
 
I also specialize in recruiting in the following areas:

• Actuarial
• Data Analytics
• Product Development
• Pricing
• Valuations
• Market Risk

 
If you do not hear from us within two weeks, please consider your application unsuccessful. Your profile will be kept on our database for other suitable opportunities.
 
For more information, contact:
Kholo Mongalo
Recruitment Researcher in Actuarial & Analytics
? Connect with me on LinkedIn: Kholo V. Mongalo

We’re looking for a seasoned Application Scoring Specialist (8+ years’ experience) who thrives at the intersection of data science, credit risk, and business strategy. If you have a strong track record in scorecard development, feature engineering, and reject inference, and enjoy mentoring the next generation of Analysts while influencing executive stakeholders, this role is for you.
 
What You’ll Do: 

• Lead the design, development, and peer review of application scorecards, including reject inference.
• Drive feature engineering initiatives to unlock stronger model performance.
• Bring cross-industry insights to credit decisioning strategies.
• Innovate in low-data environments (particularly SME lending) with predictive solutions.
• Mentor and develop Junior Analysts, while influencing senior business leaders.
• Provide thought leadership in model governance and best practice.
• Spearhead the development of PD models and contribute to behavioural model enhancements.
• Present complex technical concepts in clear, strategic terms at executive level.

 
What You Bring: 

• 8+ years’ hands-on experience in application scoring & credit risk modelling.
• Expertise in scorecard development, reject inference, and model validation.
• Strong skills in feature engineering and data pre-processing.
• Proven ability to deliver robust models in data-scarce environments.
• Proficiency in SAS (essential) and experience with Paragon Modeler (advantageous).
• A Degree in Mathematics, Statistics, Mathematical Statistics, or Engineering.
• Strong communication and leadership skills—able to mentor and inspire, but also influence at a boardroom level.

 
Preferred Extras: 

• SME lending or alternative credit scoring experience.
• Familiarity with machine learning in scoring contexts.
• Experience generating new features for advanced modelling.
• Agile, cross-functional team experience.

 
If you’re passionate about scoring, thrive on solving complex data challenges, and want to influence the future of lending across industries, this is your chance.
 
Apply now!
 
For more exciting Actuarial and Analytics opportunities, please visit: Network Recruitment
 
I also specialize in recruiting in the following areas:

• Actuarial
• Data Analytics
• Product Development
• Pricing
• Valuations
• Market Risk

 
If you do not hear from us within two weeks, please consider your application unsuccessful. Your profile will be kept on our database for other suitable opportunities.
 
For more information, contact:
Kholo Mongalo
Recruitment Researcher in Actuarial & Analytics
? Connect with me on LinkedIn: Kholo V. Mongalo

We’re looking for a seasoned Application Scoring Specialist (8+ years’ experience) who thrives at the intersection of data science, credit risk, and business strategy. If you have a strong track record in scorecard development, feature engineering, and reject inference and enjoy mentoring the next generation of Analysts while influencing executive stakeholders, this role is for you.
 
What You’ll Do: 

• Lead the design, development, and peer review of application scorecards, including reject inference.
• Drive feature engineering initiatives to unlock stronger model performance.
• Bring cross-industry insights to credit decisioning strategies.
• Innovate in low-data environments (particularly SME lending) with predictive solutions.
• Mentor and develop Junior Analysts, while influencing senior business leaders.
• Provide thought leadership in model governance and best practice.
• Spearhead the development of PD models and contribute to behavioural model enhancements.
• Present complex technical concepts in clear, strategic terms at executive level.

 
What You Bring: 

• 8+ years’ hands-on experience in application scoring & credit risk modelling.
• Expertise in scorecard development, reject inference, and model validation.
• Strong skills in feature engineering and data pre-processing.
• Proven ability to deliver robust models in data-scarce environments.
• Proficiency in SAS (essential) and experience with Paragon Modeler (advantageous).
• A Degree in Mathematics, Statistics, Mathematical Statistics, or Engineering.
• Strong communication and leadership skills—able to mentor and inspire, but also influence at boardroom level.

 
Preferred Extras: 

• SME lending or alternative credit scoring experience.
• Familiarity with machine learning in scoring contexts.
• Experience generating new features for advanced modelling.
• Agile, cross-functional team experience.

 
If you’re passionate about scoring, thrive on solving complex data challenges, and want to influence the future of lending across industries this is your chance.
 
Apply now!
 
For more exciting Actuarial and Analytics opportunities, please visit: Network Recruitment
 
I also specialize in recruiting in the following areas:

• Actuarial
• Data Analytics
• Product Development
• Pricing
• Valuations
• Market Risk

 
If you do not hear from us within two weeks, please consider your application unsuccessful. Your profile will be kept on our database for other suitable opportunities.
 
For more information, contact:
Kholo Mongalo
Recruitment Researcher in Actuarial & Analytics
? Connect with me on LinkedIn: Kholo V. Mongalo