Current jobs related to Quantitative Analyst: Credit and Impairment Specialist - Cape Town, Western Cape - Network Recruitment
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Cape Town, Western Cape, South Africa Network Recruitment Full timeQuantitative Analyst Job DescriptionAs a Quantitative Analyst at Network Recruitment, you will play a pivotal role in developing and refining credit risk scorecards, analyzing complex data, and applying statistical methods to provide actionable insights for business decisions. You will collaborate with various teams to integrate data science and machine...
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Quantitative Analyst: Credit and Impairment Specialist
2 months ago
We are seeking a skilled Quantitative Analyst to join our team at Network Recruitment. As a key member of our credit risk management team, you will be responsible for developing and maintaining sophisticated financial models to analyze and manage credit risk.
Key Responsibilities:- Model Development and Calibration: Develop and calibrate models for EAD, PD, LGD, FLI, including impairment reporting and loan valuation.
- Portfolio Analysis: Conduct in-depth analysis and monitoring of portfolios to drive strategic decision-making.
- Model Governance: Ensure rigorous model monitoring, governance, and accurate reporting.
- Data Analysis: Source, consolidate, and analyze large datasets using advanced programming skills, identifying anomalies and trends.
- Technical Documentation: Maintain comprehensive technical documentation of modeling methodologies.
- Communication: Present analytical results clearly to both technical and non-technical stakeholders.
- Regulatory and Impairment Models: Support the development of impairment, regulatory capital, and stress testing models.
- Vision and Strategy: Contribute strategically to shaping practices and improving risk-based profitability.
- Proficiency in Big Data Manipulation and Management: Strong skills in data interpretation, process automation, and coding in statistical packages.
- Ability to Document Methodologies: Multitask and challenge ideas.
- Degree: Degree in Stats, Math, Applied Maths, Financial Risk Management, Data Science, Engineering, or related fields.
- Experience: 1-3 years of experience in credit, model development, impairment, or regulatory capital environments.
- Technical Skills: Experience with R, SQL, MATLAB, SAS, and Python is advantageous.