ECT Risk Role

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.