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Risk Modeling Consultant
2 weeks ago
**Job Description & Responsibilities**:
**Key Responsibilities**:
- Develop and implement **ECL framework** covering both collateralized and non-collateralized exposures.
- Define and document the **approach for computing ECL**, including Probability of Default (PD), Loss Given Default (LGD), Exposure at Default (EAD), and discounting methodologies.
- Research, compare, and evaluate at least **3 different ECL modeling approaches** (e.g., Vintage Analysis, Roll Rate Models, Transition Matrix, Monte Carlo Simulation) to recommend the most suitable model.
- Design and deliver a **recommended ECL model** aligned with regulatory and IFRS 9 standards.
- Build an **ECL Calculator/Template** (Excel-based prototype) with capability for automation and scalability.
- Integrate ECL solution with **SAS, IFRS 9 solutioning tools, and APIs** for seamless system connectivity and reporting.
- Work closely with Risk, Finance, and IT stakeholders to ensure model validation, governance, and compliance.
- Provide support in **regulatory reporting, model documentation, and audit requirements**.
**Requirements**:
- Proven experience in **IFRS 9, ECL modeling, credit risk modeling, and regulatory reporting**.
- Strong expertise in **PD/LGD/EAD modeling, macroeconomic overlays, and stress testing**.
- Hands-on experience with **SAS (SAS Risk Management / SAS IFRS 9 modules)** and Excel-based calculators.
- Experience in **system integration via APIs** for risk and finance data flows.
- Knowledge of **statistical modeling, machine learning, and quantitative risk techniques**.
- Strong programming skills in **Python, R, or SQL** (preferred).
- Excellent analytical, problem-solving, and communication skills.
**Good to Have**:
- Experience with **Big 4 advisory, banking, or financial institutions**.
- Familiarity with **Basel III/IV, Stress Testing, ICAAP, and Credit Risk Capital frameworks**.
- Knowledge of **cloud platforms (Azure, AWS, GCP)** for risk model deployment.