Assistant Manager, Credit Risk Modelling & Analytics

SING INVESTMENTS & FINANCE LIMITED; Singapore; Presencial; SGD 90 000 - 130 000; Tempo integral

Resumo da oferta

Sing Investments & Finance Limited is seeking an Assistant Manager - Credit Risk Modelling Specialist in Singapore. The role involves developing and implementing credit risk models, including internal rating systems, stress testing and validation, while monitoring portfolio risk and reporting to the Risk Management Committee.

The candidate should have a degree in Mathematics, Finance, or Statistics with at least 2 years of credit risk experience and strong modelling, analytical, and data

Qualificações

• Degree in Mathematics, Finance, Statistics or related field.
• 2+ years of credit risk experience preferred.
• Strong understanding of credit risk management and modelling concepts.
• Familiarity with IFRS9 regulatory requirements.
• Solid financial modelling, statistical, and analytical skills.
• Proficiency in MS Excel; programming knowledge a plus.

Responsabilidades

• Assist in developing and implementing models for Credit Risk (including internal risk rating, stress testing, back testing and validation).
• Monitor and highlight breaches/excesses in bank counterparty limits and share financing portfolio insights to management.
• Prepare credit risk reports and analyses for Risk Management Committee meetings.
• Develop credit rating criteria and methodologies for SME and retail banking; support model validation and data management.

Conhecimentos

Credit Risk Modelling

Stress Testing

Data Analysis

Regulatory IFRS9

Financial Modelling

Excel

Matlab

Formação académica

Bachelor’s degree in Mathematics/Finance/Statistics

Ferramentas

Matlab

Descrição da oferta de emprego

Sing Investments & Finance Limited is seeking an Assistant Manager - Credit Risk Modelling Specialist in Singapore. The role involves developing and implementing credit risk models, including internal rating systems, stress testing and validation, while monitoring portfolio risk and reporting to the Risk Management Committee.

The candidate should have a degree in Mathematics, Finance, or Statistics with at least 2 years of credit risk experience and strong modelling, analytical, and data