Job Description
This role is for one of the Weekday's clients
Min Experience: 4 years
JobType: full-time
We are looking for an experienced ECT Risk Specialist to join our Risk Management function, focusing on Credit Risk Model Development . This role will be instrumental in building, enhancing, and maintaining robust credit risk models that support enterprise-wide risk assessment, regulatory compliance, and strategic decision-making. The ideal candidate will have a strong quantitative background, hands-on experience in credit risk analytics, and the ability to translate complex risk concepts into actionable insights for senior stakeholders.
You will work closely with cross-functional teams including Finance, Treasury, Data Science, Compliance, and Technology to ensure that credit risk models are accurate, scalable, and aligned with evolving business and regulatory requirements.
Requirements
Key Responsibilities
- Design, develop, and implement credit risk models such as Probability of Default (PD), Loss Given Default (LGD), Exposure at Default (EAD), credit scorecards, and stress testing frameworks.
- Perform end-to-end model development , including data preparation, variable selection, model estimation, validation, and performance monitoring.
- Enhance and recalibrate existing credit risk models to reflect changes in portfolio behavior, macroeconomic conditions, and regulatory expectations.
- Conduct portfolio-level credit risk analysis to identify trends, concentrations, and emerging risks across products, segments, and geographies.
- Support enterprise credit risk (ECT) initiatives , including risk appetite assessment, limit frameworks, and capital impact analysis.
- Partner with stakeholders to embed credit risk models into business processes, decision engines, and reporting platforms.
- Prepare clear and concise model documentation, validation reports, and governance materials for internal review, audit, and regulatory examinations.
- Participate in model validation reviews, respond to findings, and implement remediation plans in line with best practices.
- Contribute to stress testing, scenario analysis, and sensitivity analysis to assess portfolio resilience under adverse conditions.
- Stay current with industry trends, regulatory guidelines, and emerging methodologies in credit risk modeling.
Required Skills & Qualifications
- 4–10 years of experience in Credit Risk , Credit Risk Model Development , or quantitative risk analytics.
- Strong understanding of credit risk concepts, statistical modeling techniques, and portfolio risk management.
- Hands-on experience with model development tools and programming languages such as Python, R, SAS, or SQL .
- Experience working with large datasets and applying data-driven techniques for risk modeling.
- Solid knowledge of model governance, validation processes, and regulatory expectations.
- Ability to communicate complex analytical findings to non-technical stakeholders.
- Bachelor’s or Master’s degree in Finance, Economics, Statistics, Mathematics, Engineering, or a related quantitative field.
Preferred Attributes
- Experience in enterprise-level risk or ECT environments.
- Exposure to stress testing frameworks and regulatory reporting.
- Strong problem-solving mindset with attention to detail and quality.
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