Junior Credit Risk Analyst at Glencore

OBJECTIVES:

• In-depth financial analysis including spreading financial data, helping to score counterparties through in-house scoring models and updating Credit Rating and advising on credit risk appetite.
• Periodically and ad-hoc macro-economic and sector reporting.
• Creation and distribution of Credit Risk reporting (bespoke, cross-group and cross-functional) for the

Global Function to senior stakeholders.

• Validating and explaining Credit Risk data generated from our various systems.
• Maintaining Data Integrity across our various systems.
• Assisting in the development of new and existing systems, processes, and reports (PFE, Cost of Credit)
• To communicate effectively with senior management and the credit team.
• Identify and present issues to relevant Global teams, clearly and logically.
• Any other ad hoc duties that may be required from time to time.

KEY RELATIONSHIPS:

• Credit team (London, NY and Baar)
• Senior Risk Management team
• Other Risk functions

QUALIFICATIONS:

• Tertiary Qualification- Bachelor’s Degree (preferably in finance, risk management, accounting, economics, business studies, analytics)
• Relevant Post graduate qualifications beneficial

WORK EXPERIENCE:

• Ideally 0-1 experience. (recent graduate)
• Financial Analysis knowledge would be beneficial.
• Coding skills in VBA, PowerBI, Python advantageous.

COMPETENCIES:

• Proficient knowledge using Microsoft Office (i.e. Access, Excel, PowerPoint)
• Good working knowledge of Excel spreadsheets and database functionality e.g., forms, templates, and logic functions.
• Strong communication skills.
• Ability to work independently & as part of a rapidly changing team.
• Multi-tasking and excellent management of time and priorities is essential.
• Highly numerate, with good problem-solving and analytical skills.
• Pro- active, committed and highly motivated.
• Ability to work independently.
• Ability to work well in a team.
• Need to be adaptable, flexible, and entrepreneurial.
• Takes initiative and invest energy to resolve queries.
• High level of attention to detail and data accuracy, ensuring analysis is focused on delivering practical business benefits, often in tight deadlines.
• Strong interest in commodities