Solytics Partners
2 months ago
About Us :
- Solytics Partners provides Consulting and Solutions to Banking, Capital Markets, Asset Management, and Insurance firms.
- We leverage combination of deep domain knowledge, advanced analytics and technology to provide accelerated and efficient services and next generation solutions.
- Our team of senior consultants comes with significant global experience in key markets and advanced degrees in STEM.
- Our regulatory compliant solutions and services enable leading financial institutions and corporations to create and sustain competitive advantage.
Job Summary :
Credit Risk Modelling Analyst will be responsible to manage the model implementation cycle (from design, implementation, monitoring to demise) of Credit risk and IFRS9 models covering the Large corporates, Mid-market and SME portfolios along with Banks / FIs and Sovereign portfolio.
This role is a part of wholesale credit risk modelling team which is a [part of risk management function.
Role and Responsibilities :
- Involve in model development, model validation, model recalibration and monitoring model documentation and maintain the risk model inventory.
- Performing these activities on the MRM framework for corporate BASEL and IFRS9 models.
- Lead credit scoring modelling exercise with applicable compliance to regulations.
- Implementation and enhancement of ECL models based on internal enhancements, BASEL or Saudi Central Bank regulatory stipulation.
- Working closely with BA's and system owners for model development.
- Strong understanding of data analytics and enterprise level data architecture which is used to consolidate model development and model monitoring information.
- Support business reporting and analytics function in generating bespoke reports from credit approver and rating system.
Key Requirements :
- 2 to 6 years of experience in model development/ model validation and model management.
- Understanding of Stress testing/ sensitivity testing
- Experience in risk requirements as related to scorecards and IFRS9/ CECL/ AIRB.
- Strong understanding of credit risk and model development.
- Indepth knowledge of model development and validation including data extraction and pre-processing, modular model development, user acceptance testing and model performance assessments of :
- IFRS9 models: staging, PD, EAD, LGD
- Risk scorecards and frameworks - Large corporates, Mid-market and SME portfolios.
- Credit decisioning and Early Warning Risk Models
- Good programming skills in SAS.
- Transferrable knowledge from R or Python.
- Knowledge of SAS EG and ECL will be an added advantage
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