Credit Risk Modeller ( IRB ) in City of London
Crisil is looking for an Credit Risk Modeller ( IRB ) in City of London
Job description
Overview:
We are seeking an experienced Lead Model Developer with exceptional expertise in credit risk modeling, especially the wholesale portfolio (banks, corporate, specialized lending, real estate, non-banking). The ideal candidate will bring deep domain knowledge and advanced technical skills to drive sophisticated credit risk modeling initiatives across wholesale portfolios.
Position Details:
Location: London
Employment Type: Full-time
Key Responsibilities:
- Lead end-to-end development of advanced credit risk models, including PD, EAD, LGD models compliant to IRB Standards from inception to IRB accreditation
- Significant contribution to the IRB accreditation process
- Conduct comprehensive data preparation, preprocessing using tools including SAS, Python, R, and SQL
- Design, build, calibrate and implement robust credit risk models across wholesale portfolios with rigorous User Acceptance Testing (UAT)
- Collaborate with cross-functional stakeholders to analyze, interpret, and communicate complex model results and insights
- Develop comprehensive technical documentation including:
- Model documentation , Business Requirements Documents (BRD) , Regulatory compliance documentation
- Drive continuous model improvement through:
- Identifying optimization opportunities; Implementing advanced modeling techniques; Enhancing model performance and predictive accuracy
- Provide mentorship and technical guidance to junior team members, fostering a culture of knowledge sharing and professional development
Required Qualifications:
- Proven expertise in modeling across wholesale/LDP credit portfolios
- Advanced proficiency in: SAS, Python, R, SQL
- Strong knowledge of capital models (IRB approach)
- Exceptional analytical and problem-solving skills
- Excellent written and verbal communication abilities
Preferred Qualifications:
- Advanced degree in Statistics, Mathematics, Economics, or related field
- Professional certifications in risk management or financial modeling
- Experience with machine learning and advanced statistical modeling techniques • Knowledge of Basel regulatory requirements
Technical Skills:
- Model Development: PD, LGD, EAD
- Programming: SAS, Python, R, SQL
- Regulatory Knowledge: IRB (Must)
- Data Preprocessing / Statistical Modeling / Machine Learning Techniques
Extra information
- Status
- Open
- Education Level
- Secondary School
- Location
- City of London
- Type of Contract
- Part-time jobs
- Published at
- 14-07-2025
- Profession type
- Accountancy
- Full UK/EU driving license preferred
- No
- Car Preferred
- No
- Must be eligible to work in the EU
- No
- Cover Letter Required
- No
- Languages
- English
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