3 ProEx Labs Jobs
Specialist - Model Development & Validation/Risk Modelling (4-7 yrs)
ProEx Labs
posted 1mon ago
Flexible timing
Key skills for the job
Model Developer - Risk Modelling
We are seeking a skilled Model Development and Validation Specialist to join out client. This role involves developing, validating, and implementing quantitative models to support decision-making processes across various business units. The ideal candidate will have a strong background in statistical modeling, data analysis, and risk assessment.
Key Responsibilities:
Model Development:
- Design and implement statistical models for forecasting, risk assessment, and performance evaluation.
- End-to-end model development including segmentation, model design, variable reduction technique, model selection and model performance.
- Collaborate with cross-functional teams to identify modeling needs and objectives.
Model Validation:
- Conduct thorough validation of existing models to ensure accuracy, reliability, and compliance with regulatory standards.
- Perform back-testing and stress testing of models to assess their robustness.
Model Risk Management/Model Governance:
- Model Risk Policy & Governance; regulatory interpretation and compliance; regulatory submissions.
- Credit risk; capital models; model life-cycle management, financial crime risk; economic research.
- Basel 3.1, SS 1/23, EBA IRB Repair, Capital Requirements Regulation 2013, PRA Rulebook, etc.
Continuous Improvement:
- Monitor model performance and make necessary adjustments based on emerging trends and data.
- Stay updated on industry best practices and regulatory requirements related to model risk management.
Qualifications:
- Bachelor's degree in Statistics, Mathematics, Economics, Data Science, or a related field; master's preferred.
- Proven experience in model development or validation in Banking sector for retail risk space. (scorecard model development/validation experience preferred)
- Mandatory hands-on in SQL, with experience in SAS (preferred), Python, R.
- Familiarity with machine learning techniques and statistical analysis tools.
- Excellent analytical, problem-solving, and communication skills.
- Ability to work collaboratively in a team-oriented environment.
Functional Areas: Software/Testing/Networking
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