Senior Manager, Credit Portfolio Management

Trafigura; Genf; Vor Ort; CHF 120.000 - 180.000; Vollzeit

Zusammenfassung

Trafigura in Geneva is seeking an experienced Credit Risk professional to drive analytics at the intersection of credit, trade finance, and technology. You will own portfolio analytics, MTM calculations, stress testing, and sensitivity analysis to strengthen risk insights across the organization.

You will lead data modeling and reporting initiatives, integrate data from multiple systems, and collaborate with IT and the credit team to deliver a scalable risk platform.

Qualifikationen

• 8–10 years’ experience in credit risk analysis and data.
• Experience sourcing high-volume data for risk management across multiple systems.
• Strong data visualization and risk reporting experience.
• Strong credit risk modeling including stress testing.
• Experience with commodities trade flows a plus.

Aufgaben

• Translate business requirements into a prioritised system roadmap with IT and developers.
• Manage the credit risk data model, integrating data from source systems and reporting tools.
• Enhance credit risk reporting functionality with a flexible tool.
• Credit modeling includes EPE, PFE, stress testing and sensitivity analysis.
• Oversee credit portfolio management, concentration risk assessment.

Kenntnisse

Credit risk analysis

Data sourcing

Data visualization

Credit risk modeling

Stress testing

Sensitivity analysis

Stakeholder management

Commodities risk

Ausbildung

Master's degree in finance or quantitative field

CFA/FRM/PRM or equivalent

Tools

SQL

Python

Data visualization tools

In-house risk reporting system

Jobbeschreibung

Main purpose

• Work at the intersection of credit, trade finance, operations, structured finance and technology.
• Perform portfolio analytics covering standard MI & reporting to advance analytics on MTM calculation, stress testing and sensitivity analysis
• Act as functional owner and manage stakeholders for the inhouse credit risk system used across the organization with functions such as exposure calculation, limit monitoring, reporting and other related functions

Key responsibilities

• Translate business requirements into a prioritised system roadmap, working closely with IT, developers and the wider credit team.
• Manage the credit risk data model, integrating data from relevant source systems, cleaning and transforming and integrating into a reporting tool.
• Enhance credit risk reporting functionality including a flexible and powerful reporting tool.
• Credit modeling includes integration of financial, transaction and non-traditional data to highlight early warnings
• Credit portfolio management, including assessment and management of concentration risks.
• Development of methodology and implementation for credit modeling including EPE, PFE, stress testing and sensitivity analysis.

Required qualifications

• Minimum ~8-10 years’ experience in Credit risk analysis and data.
• Deep understanding and experience of sourcing high volume data for credit risk management across multiple systems and processes.
• Deep understanding of data visualization and risk reporting in credit risk management
• Strong experience of credit risk modeling, including sensitivity analysis and stress testing
• Experience of commodities trade flows and associated credit risk would be advantageous.

Preferred qualifications

• Master’s degree in finance, Economics, Engineering, Mathematics or a related quantitative discipline.
• CFA, FRM, PRM or equivalent credentials are preferred.
• Additional experience in programming and managing credit system.

Attributes for success

• Combination of expertise in Credit Risk, Commercial, and technology

Department overview

It’s a global team, reporting directly to the Head of Credit Portfolio Management

Equal opportunity employer

We are an Equal Opportunity Employer and take pride in a diverse workforce! We do not discriminate in recruitment, hiring, training, promotion or other employment practices for reasons of race, colour, religion, gender, sexual orientation, national origin, age, marital or veteran status, medical condition or handicap, disability, or any other legally protected status.