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Tier-1 brand, mid-level ML role, metro location, popular title, and broad toolset increase competition.
Role tied to credit risk, trading ETRMs, and regulatory governance, limiting transferability across industries.
Explicit 5+ years, 3+ years ML, domain-specific credit risk and governance requirements make filters strict.
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Design and implement AI-driven analytics and predictive models to enhance credit risk reporting and portfolio insights for Shell Trading & Supply.
Own end-to-end analytics solutions including data pipelines, dashboards, and lifecycle management ensuring measurable business impact and governance compliance.
Lead AI adoption, training, and stakeholder engagement across Credit, Commercial, and Risk teams to embed automation and advanced analytics into global credit risk processes.
Minimum 5+ years overall work experience with at least 3+ years in AI and Machine Learning applied to credit risk.
Degree in Finance, Mathematics, or related field; professional certifications like GARP FRM, ERP, or RAI preferred.
Proficiency in Python, SQL, and experience with data visualization tools such as QlikView; familiarity with AI/ML frameworks like Databricks.
Experience with data engineering fundamentals, model governance, regulatory considerations, and complex trading environments involving multiple ETRMs.
Experienced in scaling and deploying AI-driven credit risk analytics solutions in global, complex trading environments.
Strong ability to translate complex AI models into business impact with focus on compliance, explainability, and stakeholder communication.
Proactive ownership of end-to-end data products combining technical expertise with commercial acumen to deliver actionable credit risk insights.