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Posted 13 hours ago
Ops Manager - Credit Analytics & Data
Shell
Requirements
team management experience, proficiency in Python, machine learning frameworks, credit risk knowledge, data engineering experience, Agile methodologies
Skills
PythonMachine LearningAzureSnowflakeCredit Risk
About the role
Responsibilities
- Lead and develop a high-performing team of data and analytics professionals in India, fostering a culture of quality and continuous improvement.
- Manage the delivery of core Credit Data & Analytics (CDA) services, including credit risk reporting, counterparty exposure monitoring, and portfolio dashboards.
- Champion the adoption of AI and machine learning techniques to enhance predictive modeling, anomaly detection, and NLP-driven data extraction.
- Oversee the full lifecycle of analytical products, from data sourcing and transformation to presenting insights to senior stakeholders and the CRO.
- Drive operational excellence by embedding Agile/sprint working practices and utilizing modern data platforms like Snowflake and Azure.
- Act as the primary operational interface between the India-based team and London-based senior stakeholders.
Requirements
- Proven experience in team management, including performance management, coaching, and workload prioritization.
- Strong proficiency in Python for data analysis and automation, including experience with machine learning frameworks (e.g., scikit-learn, XGBoost).
- Deep understanding of credit risk concepts such as counterparty credit risk, CVA, ECL, and exposure measurement.
- Practical experience in data engineering, data transformation, and using version control tools like GitHub.
- Experience working within Agile delivery methodologies (Scrum or Kanban).
- Ability to communicate complex technical and model outputs into clear business narratives for senior leadership.
Preferred Qualifications
- Experience in energy trading, commodities, or an ETRM (Energy Trading & Risk Management) environment.
- Familiarity with IFRS 9, Basel III, or other credit risk regulatory frameworks.
- Exposure to Azure Data Mesh architecture, MLOps practices, or orchestration tools like Apache Airflow.
About the Company
Shell is a global group of energy and petrochemical companies, employing 96,000 people across more than 70 countries. We are transitioning to become a net-zero emissions business while providing the energy that people around the world need today.
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Shell · Bangalore
