Quantitative Validation Analyst: Finance Risk & Model Testing

Moody's Investors Service; City of Edinburgh; On-site; GBP 50,000 - 70,000; Full time

Job summary

A global leader in ratings and risk assessment is seeking a Quantitative Financial Analyst to ensure the accuracy of financial analytics produced by their asset liability management product. In this role, you will bridge financial theory and implementation, validating that systems produce correct results aligned with industry standards. The ideal candidate will have 3 to 5 years of relevant experience, a master's degree, strong analytical skills, and proficiency in tools like Python and Excel. Work in a collaborative international environment to advance financial modeling accuracy.

Qualifications

• 3 to 5 years of experience in a similar role.
• Ability to read and implement financial models from technical specifications.
• Experience with testing frameworks and automation is a plus.

Responsibilities

• Review financial analytics requirements and collaborate with teams.
• Develop independent financial model prototypes and benchmarks.
• Create detailed test cases covering edge cases.
• Analyze discrepancies between expected and actual results.
• Offer constructive input to support the optimization of financial models.
• Execute and maintain regression test suites.

Skills

Model validation

Quantitative analysis

Financial model development

Analytical skills

Problem-solving

Fluency in English

Financial Risk Models

Fixed Income analysis

Education

Master's degree in Financial Engineering

Master's degree in Quantitative Finance

Master's degree in Accounting

Master's degree in Mathematics

Master's degree in Statistics

Tools

Python

R

MATLAB

Excel

Job description

A global leader in ratings and risk assessment is seeking a Quantitative Financial Analyst to ensure the accuracy of financial analytics produced by their asset liability management product. In this role, you will bridge financial theory and implementation, validating that systems produce correct results aligned with industry standards. The ideal candidate will have 3 to 5 years of relevant experience, a master's degree, strong analytical skills, and proficiency in tools like Python and Excel. Work in a collaborative international environment to advance financial modeling accuracy.