Application Scoring Specialist

SUMMARY:
Application Scoring Specialist – Senior Level
 
Are you ready to take your expertise in application scoring and credit risk modeling to the next level? This is your opportunity to shape the future of credit decisioning across industries while driving innovation in SME lending.

POSITION INFO:
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 behavioral model enhancements.
• Present complex technical concepts in clear, strategic terms at executive level.

• 8+ years’ hands-on experience in application scoring & credit risk modeling.
• Expertise in scorecard development, reject inference, and model validation.
• Strong skills in feature engineering and data preprocessing.
• 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.

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

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