Wholesale Credit Portfolio Analytics Analyst

• Develop and maintain credit risk rating methodologies, tools, and frameworks to improve risk management processes, including counterparty rating models, exposure management, and credit approvals.
• Collaborate with internal model review and controls teams to ensure new methodologies are approved and compliant.
• Use data science techniques to derive insights and communicate findings.
• Contribute to generating new ideas to address both ad hoc and strategic projects.
• Present findings and recommendations to senior management through presentations

Required Qualifications, Skills and Capabilities

• Relevant analytics, model/methodology development or credit risk experience
• Self-starter with creative problem-solving skills. Ideal candidates have experience in quantitative method development and data analysis and are comfortable discovering and communicating ideas through data.
• Degree in analytical field preferred (e.g., Data Science, Computer Science, Engineering, Mathematics, Statistics)
• Experience with modern analytic and data tools, particularly Python/Anaconda and/or R, Tensorflow and/or Keras/PyTorch, Spark, or SQL.
• Excellent problem solving, communications, and teamwork skills.
• Financial service background preferred, but not required.
• Desire to use modern technologies as a disruptive influence within Banking

Role: Data Analyst

Industry Type: Financial Services

Department: Data Science & Analytics

Employment Type: Full Time, Permanent

Role Category: Business Intelligence & Analytics

Education

UG: Any Graduate

PG: Any Postgraduate