Ops Manager- Credit Analytics & Data

Responsibilities

• Team Leadership & People Management
• Lead, manage, and develop a high‑performing team of data and analytics professionals based in India, working in close partnership with the London‑based Credit Data & Analytics Manager.
• Drive a high-performance culture focused on quality, delivery, continuous improvement, and professional development.
• Build a sustainable, high‑performing team by actively developing, engaging, and retaining talent.
• Liaise with technology and analytics platform teams to support enhancements, adoption of new capabilities, and resolution of data or tooling issues affecting BAU delivery.
• Drive adoption of new analytics platform features as they are released, embedding them into BAU workflows and team ways of working.
• CDA BAU Analytical Services
• Own and manage the delivery of Credit Data & Analytics BAU services from the India team, including regular credit risk reporting, counterparty exposure monitoring, portfolio dashboards, and ECL/CVA analytical outputs.
• Ensure all BAU deliverables are produced to the highest standards of accuracy, timeliness, and completeness, in line with agreed SLAs and Global Credit Services credit risk policy.
• Manage the analytical calendar, ensuring the team is resourced and prepared for period-end reporting cycles, ad hoc business requests, and regulatory submissions.
• Oversee the full lifecycle of analytical products - from data sourcing and transformation through to insight generation and presentation-ready outputs for senior stakeholders including the CRO.
• Drive continuous improvement in BAU processes, identifying opportunities to automate, streamline, and enhance analytical coverage using the CAI platform capabilities.
• Analytical Solutions Development & AI/ML Innovation
• Champion the adoption of AI and machine learning techniques in BAU processes to enhance credit risk analytics - including predictive counterparty risk models, anomaly detection, scenario analysis, and NLP-driven data extraction.
• Oversee the use of Python-based ML frameworks (scikit-learn, XGBoost, or equivalent) and orchestration tools within the Azure environment to automate and enhance analytical pipelines.
• Evaluate and adopt emerging AI/ML and analytical tooling that can improve team productivity and analytical quality.
• Champion best-in-class engineering practices within the team - including code version control (GitHub/dbt), automated testing, peer review, and solution documentation.
• Support ad hoc modelling and analytical requests from trading desks, the CRO, and senior credit stakeholders, leveraging AI-enhanced methodologies where appropriate.
• Stakeholder Engagement
• Serve as the primary operational interface between the SBO India CDA team and London-based senior stakeholders.
• Build trusted relationships with trading desks, risk management, IT delivery partners, and data platform teams across Shell's global credit organization.
• Represent the India team in governance forums, sprint reviews, and senior stakeholder updates, communicating delivery status, analytical insights, and team performance clearly.
• Proactively surface capacity risks, data quality issues, or delivery blockers to line management, with proposed mitigations.
• Continuous Improvement
• Embed CDA's new data platform (CAI) usage within the India team's operating model, driving consistent adoption of Snowflake and the Azure Data Mesh as the core analytics toolset.
• Governance, Controls & Ways of Working
• Ensure all analytical outputs adhere to Shell's data quality standards, credit risk policy, and regulatory requirements (including but not restricted to IFRS 9).
• Maintain clear documentation of analytical methodologies, data lineage, model assumptions, and solution architecture.
• Embed Agile/sprint working practices within the India team.
• Support audit, model validation, and compliance activities related to credit risk data and analytics as required.

Requirements

• Proven track record of managing and dev

Additional Information

, India Job Family Group: Finance Worker Type: Regular Posting Start Date: June 1, 2026 Business Unit: Finance Experience Level: Experienced Professionals Job Description: Purpose Shell's Credit Data & Analytics (CDA) team is responsible for delivering high-quality credit risk analytics, reporting, and data solutions that support Shell's global trading and supply operations. The Operations Manager will be the senior leader on the ground in India, responsible for the day‑to‑day management and development of a team of analysts who own and deliver CDA's core analytical services, including credit risk reporting, counterparty exposure analysis, portfolio analytics, ECL/CVA modelling support, and bespoke analytical solutions for senior credit stakeholders. The role requires a technically credible leader who can drive operational excellence, harness modern data and AI/ML technologies, and build a best‑in‑class analytics capability within Shell Business Operations in India.

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