Trainee Model Risk Analyst – APAC, AI & No-Code Tools

Leadingnation; Hong Kong; On-site; HKD 900,000 - 1,400,000; Full time

Job summary

Natixis Corporate & Investment Banking in APAC seeks a Quantitative Analyst to validate risk and valuation models and maintain the APAC model risk management inventory in line with MRM processes.

You will design dedicated quantitative IT tools, promote no-code/low-code automation, and collaborate with LoD1 and global teams to strengthen governance and provide clear, concise documentation of reviews.

Qualifications

• Proficiency in programming languages: C++, VBA, R, Python.
• Strong foundation in Economics, Mathematics or Statistics.
• Strong analytical and organizational skills.
• Excellent written and verbal communication.

Responsibilities

• Assist in the development, implementation, and maintenance of a robust model risk governance framework.
• Assist and participate in Model validation, with a focus on AI models.
• Assist in and participate in model validation processes by designing, implementing, and maintaining dedicated quantitative IT tools and automated workflows to strengthen the governance framework.
• Support and scale wider model governance activities across Natixis by actively promoting no-code/low-code automation, piloting emerging technology solutions, and integrating data-driven tools into daily operational workflows.
• Ensure Digital Alignment and Compliance with MRM Policies.
• Assist and participate in governance framework implementation.
• Liaison with LOD1 on controls around model development, implementation, model use, and ongoing monitoring.
• Assist in the development of the pricing library

Skills

C++

VBA/XL

R

Python

Quantitative analysis

Education

Economics, Mathematics, Quantitative discipline or Statistics

Job description

Natixis Corporate & Investment Banking in APAC seeks a Quantitative Analyst to validate risk and valuation models and maintain the APAC model risk management inventory in line with MRM processes.

You will design dedicated quantitative IT tools, promote no-code/low-code automation, and collaborate with LoD1 and global teams to strengthen governance and provide clear, concise documentation of reviews.