VP/AVP, Stress Testing Execution and IFRS 9 Modelling, Risk Management Group

DBS; Singapore; On-site; SGD 100,000 - 140,000; Full time

Job summary

A leading financial institution in Singapore is seeking a VP/AVP for Stress Testing Execution and IFRS 9 Modelling within the Risk Management Group. This role involves executing credit risk stress tests, ensuring compliance with regulatory requirements, and collaborating with various internal teams. Candidates should have a strong background in finance, quantitative analysis, and experience with IFRS 9 models. The position offers a competitive salary and benefits, supporting professional development in a dynamic environment.

Benefits

Competitive salary

Benefits package

Professional development support

Qualifications

• Minimum 5 years of relevant experience in finance, risk management, or data analysis.
• Experience in developing IFRS 9 and stress testing models (PD, LGD, EAD).
• Strong quantitative and analytical skills and attention to detail.

Responsibilities

• Execute credit risk stress testing under regulatory requirements.
• Ensure models adhere to internal and external regulations.
• Identify opportunities for enhancing processes and controls.
• Explain methodologies and results to key stakeholders.

Skills

Python

SQL

Pyspark

Quantitative analysis

Data analysis

Financial modeling

Education

University degree in Finance, Statistics, Mathematics, Economics

Tools

Statistical modeling tools

Job description

Job Description - VP/AVP, Stress Testing Execution and IFRS 9 Modelling, Risk Management Group (WD80566)

Job Description

VP/AVP, Stress Testing Execution and IFRS 9 Modelling, Risk Management Group - ( WD80566 )

Responsibilities:

• Stress Testing Execution:
  • Executing credit risk stress testing under Pillar 1, IWST, SDST, ICAAP and other MAS/HKMA regulatory requirements.
  • Conducting deep dives and trend analyses of stress test results to derive insights and highlight key risk areas. Interpreting results, and preparing comprehensive reports for internal review, management, board, and regulatory submissions
• Regulatory Compliance:
  • Ensuring models and frameworks adhere to internal and external policies and regulations, managing robust processes, and responding to regulator inquiries.
• Process Improvement:
  • Identifying opportunities for enhancing processes, automation, and controls, and continuously improving stress testing frameworks.
  • Contributing to knowledge sharing and role rotations to strengthen cross-functional capabilities within the team.
• Stakeholder Communication and Engagement:
  • Explaining and defending methodologies, assumptions, and results to key stakeholders including Senior Management, Model Validation, Internal Audit and Regulators.
  • Collaborating with internal teams (e.g., Finance, Risk, Technology) to align model usage, reporting and governance.
• Systems, Automation & Reporting:
  • Work on systemisation and tech initiatives by documenting user requirements, reviewing specifications and conducting user acceptance testing (UAT).
• Model Development and Maintenance:
  • Supporting model development, enhancement, and recalibration for IFRS 9 ECL models, especially for PD, LGD, and EAD models.
  • Proposing and developing improvements to methodologies, championing conceptual soundness and regulatory alignment.
  • Monitoring model performance in use and providing feedback to enhance model reliability and business relevance

Requirements:

• Minimum 5 years of relevant experience in areas described above.
• A strong background in finance, risk management, data analysis, quantitative analysis, or a related field.
• University graduate or post-graduate with a major in Finance, Statistics, Mathematics, Economics, or other quantitative discipline.
• Experience in developing and using IFRS 9 and stress testing models (PD, LGD, EAD) with an understanding of regulatory expectations under IFRS 9, MAS 637, and Basel standards.
• Proficiency in statistical modelling tools and programming languages such as Python, SQL and Pyspark.
• Strong quantitative and analytical skills, critical thinking, and the ability to interpret complex data and results.
• Excellent written and verbal communication skills to clearly present complex findings to diverse audiences, including senior management and regulators.
• Attention to detail, ability to work efficiently under deadlines, strong organizational skills and a strategic approach to model application.
• Strong team player with a collaborative mindset and willingness to contribute across functions.

Apply now

We offer a competitive salary and benefits package and the professional advantages of a dynamic environment that supports your development and recognises your achievements.