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AI QA Engineer - Leading Financial Institution - Job Opportunity at Pinpoint Asia

Hong Kong, HK
Full-time
Senior
Posted: April 9, 2025
On-site
HKD 600,000 - 900,000 annually based on Hong Kong financial sector standards and specialized AI expertise requirements

Benefits

Competitive financial sector compensation package
Career development in cutting-edge AI
Exposure to enterprise-scale AI implementations
Professional development opportunities in fintech

Key Responsibilities

Lead quality assurance strategy for AI systems with direct impact on financial operations
Drive automated testing frameworks for enterprise AI implementations
Conduct comprehensive AI model evaluation including bias detection and ethical compliance
Establish QA standards for GenAI integration projects
Monitor and optimize AI model performance metrics

Requirements

Education

Bachelor's degree in Computer Science, Engineering, or related field

Experience

4+ years of experience in software automation testing

Required Skills

Selenium Postman AI/ML concepts Natural language processing System integration testing API testing Model performance evaluation Problem-solving English and Chinese communication

Certifications

AI or machine learning certification (preferred)
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Sauge AI Market Intelligence

Industry Trends

Financial institutions are rapidly expanding their AI testing capabilities to support the widespread adoption of GenAI applications in banking and finance. The convergence of traditional QA with AI validation creates a specialized niche with growing demand. Financial sector's increasing focus on AI governance and risk management is driving the need for sophisticated testing frameworks. Asia-Pacific financial hubs are experiencing acute shortage of AI QA specialists with both technical and domain expertise.

Role Significance

Likely part of a specialized 5-8 person AI QA team within a larger technology organization of 50+ people
Senior individual contributor with potential team lead responsibilities, serving as technical authority for AI testing methodologies

Key Projects

Implementation of automated testing frameworks for GenAI applications Development of AI model validation methodologies Creation of bias detection and ethical compliance testing protocols Integration testing for AI-powered financial products

Success Factors

Deep understanding of both traditional QA methodologies and AI-specific testing requirements Ability to bridge technical testing with business requirements in financial services Strong foundation in ethical AI principles and bias detection Experience with enterprise-scale testing frameworks

Market Demand

Very High - Specialized intersection of AI and QA expertise in financial services creates significant demand with limited talent pool

Important Skills

Critical Skills

AI/ML testing expertise - Essential for validating complex AI systems in production Automation framework development - Critical for scaling testing operations Financial domain understanding - Necessary for effective test case design

Beneficial Skills

Cloud testing platforms - Growing importance for distributed AI systems Performance testing expertise - Valuable for AI model optimization Security testing knowledge - Important for financial sector applications

Unique Aspects

Rare combination of AI expertise and QA specialization in financial services
Opportunity to shape AI testing standards in a major financial institution
Direct involvement in cutting-edge GenAI implementation

Career Growth

2-3 years in role before advancement, depending on project success and leadership capability development

Potential Next Roles

AI Testing Architecture Lead Head of AI Quality Assurance Technical Director - AI Operations AI Quality Engineering Manager

Company Overview

Pinpoint Asia

Major financial institution undergoing significant digital transformation with substantial investment in AI technologies

Leading position in Hong Kong financial sector with strong regional presence
Strategic role in Asia-Pacific financial operations with potential global impact
Traditional financial sector environment embracing technological innovation, balancing stability with transformation
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