Lead II, Quality Engineering

About the role

Grade Level (for internal use): 12 The Role: Quantitative Engineer / QA Lead, Microservices Transformation The Team: Establish FRA Prototype Team & Delivery Approach A full-scale microservices transformation of the S&P Global's Financial Risk Analytics product, pre-AI, was expected to require a large pool of technology roles across architecture, engineering, platform, security, operations, and delivery. For the initial FRA prototype transformation, we want to stand up a lean, generative-AI enabled transformation squad with a focused team structure sized to deliver a validated microservices foundation. The objective is to establish an agile technology transformation group to design and deliver a commercially aligned, targeted microservices architecture for the FRA platform, prioritizing measurable business outcomes and rapid learnings. Responsibilities and Impact: Lead the quality assurance of transformed financial services by establishing rigorous automated testing frameworks that ensure correctness, regulatory compliance, and data integrity. Develop comprehensive integration, regression, and scenario testing to validate service outputs, pricing models, algorithms, and statistical results, safeguarding analytical accuracy. Drive regulatory compliance by ensuring auditability, supporting model governance, and embedding controls that meet financial industry standards and controls frameworks. Design and execute stress testing and risk scenarios to identify vulnerabilities, ensure resilience, and maintain confidence in critical financial calculations and models. Collaborate closely with risk, compliance, and audit teams to embed validation processes that support transparency, traceability, and regulatory reporting requirements. Join a transformation journey where your expertise ensures that innovative financial services are reliable, compliant, and built on a foundation of rigorous quality assurance.

Requirements

• Key qualifications for the job
• CFA qualification (or equivalent) with a strong quantitative analysis capability
• Python / SQL
• Automated testing framework design (with experience in generative-AI development)
• Financial modelling
• Key soft skills
• Attention to detail and precision - Ensuring regulatory compliance, data integrity, and model accuracy requires meticulousness and a thorough approach.
• Strong analytical and critical thinking - Ability to interpret complex financial models, identify risks, and validate outputs effectively.
• Effective communication and collaboration - Working with product, compliance, audit, and technical teams to ensure transparency, traceability, and regulatory adherence.
• Resilience and problem-solving under pressure - Handling high-stakes validation and testing scenarios, especially during audits or regulatory reviews, with calm and confidence.
• Additional key qualifications for the job
• Capital markets
• Risk analytics
• Investment systems
• Model validation
• Additional soft skills
• Industry acumen and contextual understanding - Deep knowledge of capital markets, risk analytics, and investment systems to interpret complex models and ensure relevance.
• Critical thinking and judgment - Ability to assess model validity, identify potential biases, and evaluate risk implications with sound judgment.
• Effective stakeholder engagement - Communicating complex validation results clearly to non-technical stakeholders, including front-office, risk managers, and regulators.
• Adaptability and continuous learning - Staying current with evolving financial regulations, market practices, and modeling techniques to ensure ongoing compliance and accuracy.
• About S&P Global Market Intelligence
• For more information, visit www.spglobal.com/marketintelligence .
• What's In It For You?
• Our Mission:
• Advancing Essential Intelligence.
• Our People:
• Our Values:
• Integrity, Discovery, Partnership
• Throughout our history, the world's le

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