Quantitative Stress Testing Associate

Nomura; Greater London; On-site; GBP 85,000 - 110,000; Full time

Job summary

Nomura in London is seeking a Stress Testing Associate to join the Risk Management Division. You will contribute to developing, updating and implementing stress testing models for market and counterparty risk, analyzing results and supporting governance processes.

You should have a strong mathematical background, experience in risk modelling, and proficiency in Python, SQL, Matlab or VBA. A MSc and relevant certifications are advantageous.

Qualifications

• Experience in Market risk or Credit risk with strong knowledge of risk modelling.
• Strong mathematical foundation including probability, statistics and stochastic methods.
• MSC in a related discipline is required.
• Good knowledge of Python, SQL, Matlab, VBA.
• Knowledge of financial products such as Bonds and Derivatives is beneficial.
• FRM/PRM/CFA certification would be advantageous.
• Familiar with AI and related applications.

Responsibilities

• Work with Stress Testing Group and Validation teams on projects related to Stress Testing Framework.
• Develop and update prototype models focusing on Market risk and Counterparty Credit Risk.
• Implement stress testing models into risk systems, write technical requirements and perform model testing.
• Serve as SME for stress testing models and support users across Finance.
• Contribute to stress testing guidelines and governance.
• Create tools for stress testing models using Python and GitLab migration.
• Participate in model calibration and validation processes.

Skills

Risk modelling

Mathematics

Python

SQL

Matlab

VBA

AI basics

Financial products knowledge

Experience in risk management

Education

MSc in related discipline

FRM/PRM/CFA certification

Tools

Python

SQL

Matlab

VBA

Job description

Nomura in London is seeking a Stress Testing Associate to join the Risk Management Division. You will contribute to developing, updating and implementing stress testing models for market and counterparty risk, analyzing results and supporting governance processes.

You should have a strong mathematical background, experience in risk modelling, and proficiency in Python, SQL, Matlab or VBA. A MSc and relevant certifications are advantageous.