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Protocol Intelligence
Data-driven signals on your job's competitivenessTier-1 brand, mid-level ML role, metro location, and common Data Scientist title increase competition.
Strong credit-risk and trading domain requirements reduce cross-industry transferability.
Explicit years, mandatory ML experience, credit-risk expertise, and governance requirements make filters stringent.
Job Description
Structured overview of role & requirementsAbout This Role
Design and implement AI-driven credit risk analytics solutions for Shell Trading & Supply, enhancing risk reporting and portfolio insights.
Own end-to-end analytics products including data pipelines, dashboards, and lifecycle management to ensure measurable business impact.
Drive AI adoption and compliance by translating complex models into actionable business insights and maintaining governance and documentation standards.
Minimum Requirements
Minimum 5+ years overall work experience with at least 3+ years specifically in AI and Machine Learning.
Degree in Finance, Mathematics, or related field; professional certifications such as GARP FRM, ERP, or RAI preferred.
Proficiency in Python, SQL, advanced Excel, and familiarity with AI/ML tools like Databricks and data visualization platforms (e.g., QlikView).
Experience in credit risk analytics within complex trading environments, including knowledge of model governance and regulatory considerations.
Ideal Candidate Profile
Experienced in scaling advanced analytics and AI solutions across global credit risk operations, with technical and commercial acumen to manage product lifecycle.
Strong background working with diverse data sources and ETRMs in trading or finance environments, capable of integrating models into business workflows.
Strategic thinker able to champion AI adoption and collaborate effectively with stakeholders across Risk, IT, and Commercial teams.