Quantitative Analyst

Details of the offer

Key Responsibilities:Credit Risk Aggregation: Lead the implementation of tools like economic capital and earnings at risk models to deliver a holistic view of credit risk exposures.Model Maintenance & Validation: Ensure accuracy and compliance by maintaining, updating, and validating credit risk models in line with annual requirements.Risk Exposure Analysis: Deliver monthly and quarterly insights into portfolio changes and aggregate risk exposures across all business units.Risk Appetite & Strategy: Collaborate with the Head of Credit to set and cascade credit risk limits, ensuring strategic alignment with business objectives.Portfolio Optimization: Partner with business units to refine portfolios, leveraging credit tools to enhance alignment with risk strategies.Model Enhancement: Support business units by refining models for probability of default (PD), loss given default (LGD), and other critical metrics.Stakeholder Collaboration: Build strong relationships with credit quants, boosting their capabilities and model performance.Governance: Play a key role in the technical credit risk model approval process, ensuring compliance with group-wide standards.Experience & Qualifications:Minimum Honours Degree in Finance, Financial Engineering, Quantitative Analytics, Actuarial Science, or a related field (postgraduate qualification is an advantage).5+ years of banking experience with hands-on expertise in developing and maintaining credit risk models (PD, LGD, etc.) for retail and investment portfolios.Moodys Risk Frontier experience is essential for aggregating and analyzing credit exposures across portfolios.Expertise in Economic Capital Modeling and tools for aggregating credit risk exposures across multiple dimensions.Strong technical analysis, problem-solving, critical thinking, and data analytics skills.Take the lead in driving innovative credit risk solutions and apply today!


Nominal Salary: To be agreed

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