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Strong Tier-1 brand and hybrid work attract applicants, but niche quant/finance QA reduces broad competition.
Deep capital-markets model validation and regulatory expertise restricts cross-industry transferability.
Requires CFA, deep model-validation, regulated compliance knowledge and technical testing skills, so filters will be stringent.
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Lead quality assurance efforts for a microservices transformation of a Financial Risk Analytics platform focusing on automated testing frameworks ensuring correctness, compliance, and data integrity.
Develop and execute integration, regression, scenario, and stress testing to validate financial models, algorithms, and regulatory controls.
Collaborate with risk, compliance, and audit teams to embed validation processes supporting regulatory auditability, model governance, and financial industry standards.
Mandatory proficiency in Python and SQL for automated testing framework design.
Must have CFA qualification or equivalent with strong quantitative analysis capability.
Experience in financial modelling and knowledge of capital markets, risk analytics, investment systems, and model validation.
Work Experience Required: Not explicitly mentioned in the JD.
Experienced in designing and leading quality assurance for complex financial services transformations involving microservices and regulatory compliance.
Strong expertise in financial model validation, risk analytics, and embedding audit controls within testing frameworks.
Ability to collaborate cross-functionally with technical, risk, compliance, and audit teams to ensure transparency and regulatory adherence.