AVP, Model Validation, Risk Management Group

DBS Bank; Singapore; On-site; SGD 90,000 - 150,000; Full time

Job summary

DBS Bank is seeking an Analytics professional to perform independent validation of financial models, including AIML, credit risk, and market risk. You will assess inputs, assumptions, and empirical performance while collaborating with developers and risk managers to ensure regulatory compliance.

The role requires 3–5 years of experience, strong programming (PySpark, Python), and knowledge of ML techniques and regulatory guidance such as MAS 637 and FEAT. Based in DBS Asia Central, Singapore.

Qualifications

• Degree in a quantitative discipline is preferred.
• 3–5 years of experience in a related area.
• Outstanding quantitative and programming skills (e.g. PySpark, Python).
• Strong knowledge of statistical analysis, econometrics, ML techniques, and LLMs.
• Understanding of model risk regulatory requirements (MAS 637, FEAT).
• Self-motivated with a desire to learn and develop.

Responsibilities

• Conduct independent validation of models (including AIML, credit risk, market risk).
• Assess inputs, assumptions, and empirical performance of models.
• Collaborate with model developers and risk managers to understand purposes.

Skills

Quantitative analysis

PySpark

Python

Statistics

Machine learning

Regulatory knowledge

Communication skills

Team collaboration

Education

Bachelor's in Statistics/Mathematics/Quantitative Finance/Data Analytics

Tools

Python

SQL

PySpark

Job description

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