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Strong employer brand but senior, niche financial-models QA reduces applicant density.
Requires capital markets, risk analytics, and model-validation domain expertise, limiting transferability.
Requires regulatory model-validation and automated testing expertise, making filters stringent.
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Lead quality assurance for the FRA microservices transformation by establishing automated testing frameworks ensuring regulatory compliance, data integrity, and analytical accuracy.
Develop and execute comprehensive integration, regression, and scenario testing including stress and risk scenarios to validate financial models and maintain resilience.
Collaborate with risk, compliance, and audit teams to embed validation processes supporting transparency, traceability, and regulatory reporting.
Experience in automated testing framework design and development, including generative-AI enabled testing.
Proficiency in Python and SQL for test automation and data validation.
Familiarity with financial modeling, capital markets, risk analytics, and investment systems.
Work Experience Required: Not explicitly mentioned in the JD.
Strong quantitative analysis skills preferably with CFA/FCM qualifications or equivalent financial modeling expertise.
Demonstrated ability to design rigorous automated tests assuring regulatory compliance and model governance in financial services.
Experienced in collaborating across technology, risk, compliance, and audit stakeholders to implement QA controls within financial risk analytics transformations.