Back
Tier-1 employer, metro location and mid-level role increase competition despite credit-risk specialization.
Strong finance credit-risk, ETRM and governance requirements reduce cross-industry transferability.
Explicit 5+ years overall, 3+ years AI/ML, plus domain and governance requirements increases strictness.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Design and deliver AI-driven credit risk analytics solutions including predictive models, scenario analyses, and early-warning indicators to enhance reporting and portfolio insights.
Own end-to-end analytics products from concept to deployment, ensuring integration of data pipelines, dashboards, model governance, and continuous automation.
Collaborate across Credit, Commercial, and Risk teams to promote AI adoption, provide training, and deliver timely, accurate risk reporting and ad-hoc analyses.
Minimum 5+ years overall work experience with at least 3+ years in AI and Machine Learning relevant to credit risk analytics.
Degree in Finance, Mathematics, or related field; professional certifications like GARP FRM, ERP, or RAI preferred.
Technical proficiency in Python, SQL, advanced Excel, and familiarity with AI/ML frameworks such as Databricks; experience in data engineering, ETL, and data visualization tools like QlikView.
Experience working in complex trading environments involving credit risk, with knowledge of model governance, explainability, and regulatory compliance.
Experienced in applying advanced analytics and AI to credit risk management within global and complex trading environments.
Capable of independently managing end-to-end AI analytics product lifecycle including development, deployment, governance, and stakeholder engagement.
Demonstrates strong technical skills combined with commercial acumen to translate complex models into actionable business insights driving measurable impact.