Credit Risk Modeller â Scoring Models
Credit Risk Modeller â Scoring Models
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1 Vacancy
Job Description
Credit Risk Modeller Scoring Models Advanced Analytics Alternate Data
Duties & Responsibilities
We are partnering with a leading financial services group to appoint a Credit Risk Modeller focused on building and refining credit scoring models using both traditional and alternative data sources. This is your opportunity to shape credit vetting decisions across the customer lifecycle within an analytics-led forward-thinking environment.
Key Responsibilities:
- Design develop and implement credit scoring models (PD LGD IFRS 9) using structured and unstructured/alternative data.
- Build machine learning and statistical models to enhance credit vetting and decisioning.
- Perform data mining feature engineering and statistical testing across large datasets.
- Collaborate with risk credit analytics and technology teams to ensure seamless model integration and optimal performance.
- Document and publish model methodologies in line with governance and regulatory frameworks.
- Engage with internal stakeholders and committees championing best practices in credit modelling across the business.
Ideal Background:
- MSc/PhD in Actuarial Science Data Science Quantitative Risk or a related field.
- 5 years of hands-on credit risk modelling experience within banking or financial services.
- Solid grounding in GLMs survival analysis Markov models or Cox-regression frameworks.
- Proficiency in R Python SQL and tools like SAS or Emblem.
- Experience with R Shiny dashboards or model explainability frameworks will be advantageous.
- Demonstrated experience in technical model development with a track record of research contributions or involvement in academic/industry projects.
What Sets This Role Apart:
- Shape and drive the modelling roadmap across diverse credit portfolios.
- Join a high-performing team known for its innovation in IFRS 9 and survival modelling.
- Collaborate with credit risk data science and analytics specialists in a high-impact environment.
- Access cutting-edge research alternative data strategies and live model deployment.
- Flexible hybrid work setup with opportunities for career progression and thought leadership.
If you meet the above requirements please send your resume DIRECTLY to:
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If there is no reply within two weeks please assume that your application for the vacancy was unsuccessful. Your profile will be kept on our database for any other suitable roles / positions. We also invite you to reach out to us to discuss your next finance career opportunity!
Employment Type
Full-Time
