Risk Analyst
Weekday (YC W21)
full-time
Posted on:
Location Type: Remote
Location: India
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About the role
- 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.
Requirements
- 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.
- 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.
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
credit risk modelsProbability of Default (PD)Loss Given Default (LGD)Exposure at Default (EAD)model developmentstatistical modeling techniquesdata preparationvariable selectionmodel estimationperformance monitoring
Soft skills
problem-solvingattention to detailcommunicationstakeholder engagement