Back
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Tier-1 brand, metro location, mid-level generalist analytics title, and broad skill requirements increase applicant competition.
Credit risk, ETRM and regulatory reporting focus makes industry and domain experience strongly required.
Explicit five-year minimum plus mandatory Python, ML and data engineering skills raises screening strictness.
Lead global credit risk reporting and portfolio analytics for Trading & Supply, serving commercial teams and risk managers across multiple international hubs.
Develop and enhance credit risk analytics including PFE, ECL, CVA, credit reserves, and cost of credit analysis with a focus on integrating new businesses into global operations.
Create, document, and maintain reporting and analytical tools with data visualizations, provide training and support to stakeholders, and collaborate with cross-functional teams for reporting and transformation projects.
At least 5 years of relevant working experience in data analytics or credit risk context.
Hands-on experience with Python for data analysis and automation, including ML frameworks like scikit-learn and XGBoost.
Practical experience applying AI/ML techniques in predictive modeling, classification, anomaly detection, or NLP.
Experience with database programming, data engineering, and data transformation; knowledge of tools like Apache Airflow or Azure Data Factory preferred.
Experienced in managing complex analytics projects within financial risk or credit domains with international exposure.
Strong technical ability to bridge business needs with data modeling, process design, and tool development in a risk management environment.
Capable of working with stakeholders across IT, commercial, and risk functions, providing training and support on analytical tools and methodologies.