AVP, Model Validation, Risk Management Group

DBS Bank; Singapore; On-site; SGD 90,000 - 130,000; Full time

Job summary

DBS Bank in Singapore is seeking an Analytics professional to conduct independent validation of models, including AIML, credit risk, and market risk models. You will assess inputs, assumptions, and empirical performance while collaborating with model developers and risk managers to understand model purposes and applications.

Communicate validation results and ensure regulatory compliance with internal policies.

Qualifications

• Degree in a quantitative discipline is preferred.
• At least 3–5 years of experience in a related area.
• Outstanding quantitative and programming skills (e.g. Python, PySpark).
• Strong knowledge of statistical analysis, econometrics, ML techniques, and Large Language Models.
• Understanding of regulatory requirements and guidance related to model risk (MAS 637, FEAT).
• Self-motivated and eager to learn and develop professionally.
• Good written and verbal communication skills.

Responsibilities

• Conduct independent validation of models, including AIML models, credit risk, and market risk models.
• Assess inputs, assumptions, conceptual soundness, and empirical performance of models.
• Collaborate with model developers, risk managers, and stakeholders to understand model purposes and applications.
• Communicate validation results and provide constructive feedback to model developers.
• Ensure models comply with regulatory requirements and internal risk management policies.
• Stay updated on regulatory guidelines and industry best practices in model validation.

Skills

Quantitative skills

Programming (Python)

Pyspark

Statistical analysis

Education

Quantitative degree

Tools

Python

Pyspark

Job description

• Conduct independent validation of models, including AIML models, credit risk, and market risk models.
• Assess inputs, assumptions, conceptual soundness, and empirical performance of models.
• Collaborate closely with model developers, risk managers, and other stakeholders to understand model purposes and applications.
• Communicate validation results and provide constructive feedback to model developers.
• Ensure models comply with regulatory requirements and internal risk management policies.
• Stay updated on relevant regulatory guidelines (e.g. new requirements on artificial intelligence/machine learning models) and industry best practices in model validation.

Responsibilities

• Conduct independent validation of models, including AIML models, credit risk, and market risk models.
• Assess inputs, assumptions, conceptual soundness, and empirical performance of models.
• Collaborate closely with model developers, risk managers, and other stakeholders to understand model purposes and applications.
• Communicate validation results and provide constructive feedback to model developers.
• Ensure models comply with regulatory requirements and internal risk management policies.
• Stay updated on relevant regulatory guidelines (e.g. new requirements on artificial intelligence/machine learning models) and industry best practices in model validation.

Requirements

• Degree in a quantitative discipline (such as Statistics, Mathematics, Quantitative Finance, Data Analytics or equivalent) is preferred
• At least 3-5 years of experience in related area
• Outstanding quantitative and programming skills (e.g. Pyspark, Python, etc.)
• Strong knowledge of statistical analysis, econometrics, machine learning techniques, and Large Language Models
• Understanding of regulatory requirements and guidance related to model risk (e.g.,MAS 637, FEAT Principle)
• Self-motivated and a desire to learn and develop professionally
• Good written and verbal communication skills
• Ability to work independently and collaboratively in a team environment
• RAI and FRM certification preferred

Location

DBS Asia Central

Job

Analytics

Schedule

Regular

Employee Status

Full time