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High competition due to Tier-1 employer, Bengaluru location, and mid-level ML role attracting many applicants.
High — requires credit risk, trading (ETRM) and model governance domain expertise limiting cross-industry fit.
High — explicit 5+ years, 3+ years ML, required tech stack and finance model governance.
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Design and deliver AI-driven credit risk analytics and advanced predictive models enhancing reporting and portfolio insights in Shell Trading & Supply.
Own end-to-end analytics products, including data pipelines, dashboards, and lifecycle management, ensuring measurable business impact and compliance.
Drive AI adoption, governance, and continuous innovation across global credit risk processes supporting stakeholders including Risk Management and Leadership Teams.
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 a related field; professional certifications such as GARP FRM, ERP, or RAI preferred.
Strong skills in Python, SQL, data visualization tools (e.g., QlikView), and familiarity with AI/ML frameworks like Databricks.
Experience with credit risk concepts like ECL, CVA, portfolio analysis, model governance, and working in complex trading environments with multiple ETRMs.
Experienced data scientist with proven success in building and scaling AI-driven credit risk analytics solutions within global trading or finance environments.
Technically strong in advanced analytics, data engineering, and AI model deployment combined with strong commercial and regulatory understanding.
Comfortable collaborating cross-functionally with Risk, IT, and Commercial teams to translate complex models into actionable business insights and drive adoption.