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Strong Tier-1 brand and Mumbai location increase candidate competition moderately.
Requires deep capital markets, risk analytics, and model validation expertise, reducing cross-industry transferability.
Requires CFA or equivalent plus Python/SQL, automated testing and deep financial model validation, making shortlisting strict.
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Lead and establish automated testing frameworks ensuring correctness, regulatory compliance, and data integrity for financial services microservices transformation.
Develop and validate integration, regression, and scenario tests for service outputs, pricing models, algorithms, and statistical results.
Drive regulatory compliance by supporting auditability, model governance, and embedding controls according to financial industry standards.
CFA qualification or equivalent with strong quantitative analysis skills.
Proficiency in Python and SQL; experience in automated testing framework design including generative-AI development.
Experience in financial modeling, capital markets, risk analytics, investment systems, and model validation.
Work Experience Required: Not explicitly mentioned in the JD.
Experienced in leading quality assurance within financial services focusing on regulatory compliance and data integrity.
Strong domain expertise in capital markets, risk analytics, and investment systems with capability to interpret complex financial models.
Ability to collaborate with risk, compliance, audit, and product teams to ensure transparency and regulatory adherence in a technology transformation environment.