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Software Engineering - Job Opportunity at The Hongkong and Shanghai Banking Corporation Limited

Central, Hong Kong
Full-time
Senior
Posted: July 23, 2025
On-site
HKD 600,000 - 900,000 per year (USD 77,000 - 115,000). This estimate reflects the senior-level AI/ML expertise required, HSBC's position as a global tier-1 bank, and Hong Kong's competitive tech talent market. The role's focus on cutting-edge LLM and generative AI technologies commands premium compensation in the financial services sector.

Benefits

Comprehensive professional development programs that position employees at the forefront of financial technology innovation
Flexible working arrangements that support work-life balance in a demanding global financial environment
Inclusive and diverse workplace culture that values diverse perspectives in driving technological solutions
Opportunities for career advancement within one of the world's largest banking organizations
International collaboration opportunities with overseas teams expanding global expertise
Access to cutting-edge technology platforms and innovation resources in the financial services sector

Key Responsibilities

Lead research, development, and implementation of state-of-the-art Large Language Models (LLM) and Generative AI techniques that drive innovation across HSBC's global operations
Execute strategic Proof-of-Concept (POC) and prototyping initiatives to validate innovative ideas that could transform banking customer experiences
Translate complex business objectives into sophisticated ML models that directly impact HSBC's competitive advantage and customer satisfaction
Ensure data integrity through comprehensive data preparation, cleaning, and verification processes that maintain HSBC's reputation for security and reliability
Optimize model performance through advanced training techniques and hyper-parameter tuning that maximize business value and operational efficiency
Deploy and integrate ML models within critical business applications that serve millions of customers worldwide
Collaborate with testing engineers to establish rigorous quality assurance processes that meet banking industry regulatory standards
Contribute to MLOps toolkit development that enhances machine learning lifecycle management across the organization

Requirements

Education

Doctor, Masters, or Bachelor's degree in Machine Learning, Natural Language Processing, Computer Science, Data Science, Statistics or related areas

Experience

Experienced in fine-tuning and developing LLM

Required Skills

Expertise in one or more of NLP, Multimodal Representation Learning, Gen AI / LLM Excellent programming skills in Python Familiarity with common ML frameworks like Pytorch, and basic libraries like sklearn, pandas, etc Research experience in document understanding / document intelligence fields Visual rich document classification, information extraction, document layout analysis, question answering, generative AI, LLM Understanding of MLOps or machine learning Model Lifecycle Management concepts Strong analytical skills, problem solving skills, communication and interpersonal skills Able to work under pressure and demonstrate initiative, enthusiasm and rapid learning capability Willing to work with overseas teams
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Sauge AI Market Intelligence

Industry Trends

The global banking industry is experiencing unprecedented transformation through AI and machine learning integration, with institutions investing heavily in LLM and generative AI capabilities to enhance customer service, risk management, and operational efficiency. Major banks are racing to implement conversational AI systems, automated document processing, and intelligent advisory services. Financial services organizations are increasingly focused on document intelligence and natural language processing to automate compliance, streamline loan processing, and enhance customer onboarding experiences. This shift is driven by regulatory requirements and the need to process vast amounts of unstructured financial data. The adoption of MLOps practices in banking has become critical as institutions seek to scale AI implementations while maintaining regulatory compliance and risk management standards. Banks are building sophisticated model lifecycle management systems to ensure AI reliability and transparency.

Role Significance

The role likely involves working within a specialized AI/ML team of 8-15 engineers, collaborating across multiple business units and reporting to senior technology leadership. The position requires coordination with testing engineers, business stakeholders, and international teams across HSBC's global network.
This is a senior individual contributor role with significant technical leadership responsibilities. The position requires advanced expertise in cutting-edge AI technologies and involves driving innovation initiatives that impact HSBC's global operations. The role carries substantial influence in shaping the bank's AI strategy and technological direction.

Key Projects

Implementation of conversational AI systems for customer service automation and enhanced digital banking experiences Development of intelligent document processing systems for loan applications, compliance documentation, and regulatory reporting Creation of advanced fraud detection and risk assessment models using generative AI and large language model technologies Building MLOps infrastructure to support enterprise-scale machine learning model deployment and monitoring across global banking operations

Success Factors

Deep technical expertise in large language models combined with practical understanding of banking industry requirements and regulatory constraints Ability to translate complex business needs into innovative AI solutions while maintaining the security and reliability standards essential in global banking operations Strong collaboration skills to work effectively with international teams and diverse stakeholders across business and technology functions Proven track record in model deployment and MLOps practices to ensure scalable and maintainable AI implementations in enterprise environments

Market Demand

Very High. The intersection of AI/ML expertise and financial services experience is extremely sought after, with banks globally competing for talent capable of implementing large language models and generative AI solutions. The specialized nature of banking AI applications creates significant scarcity in qualified candidates.

Important Skills

Critical Skills

Python programming expertise is fundamental as it serves as the primary language for AI/ML development, model implementation, and integration with existing banking systems. Advanced Python skills enable rapid prototyping, efficient model development, and seamless deployment in enterprise environments. Large Language Model and Generative AI expertise represents the core technical requirement, as these technologies are revolutionizing banking customer interactions, document processing, and decision-making processes. Deep understanding of LLM architecture, fine-tuning, and deployment is essential for driving innovation in financial services. MLOps and model lifecycle management knowledge is critical for enterprise-scale AI implementation, ensuring models remain accurate, compliant, and maintainable in highly regulated banking environments. This expertise enables sustainable AI adoption across global operations.

Beneficial Skills

Document intelligence and visual document processing skills enhance the ability to automate complex banking processes such as loan applications, compliance documentation, and customer onboarding, providing significant operational efficiency gains. Cross-cultural communication and international collaboration abilities are valuable given HSBC's global presence and the need to work with diverse teams across different time zones and cultural contexts in implementing AI solutions. Financial services domain knowledge, while not explicitly required, significantly enhances the ability to understand business context, regulatory requirements, and customer needs when developing AI solutions for banking applications.

Unique Aspects

Direct involvement in implementing cutting-edge generative AI and LLM technologies within one of the world's most significant financial institutions
Opportunity to work on AI applications that directly impact millions of customers' daily banking experiences across global markets
Access to vast, diverse datasets and complex business challenges that provide unique learning and innovation opportunities in financial AI
Collaboration with international teams provides exposure to diverse market requirements and regulatory environments across multiple countries

Career Growth

Career progression to leadership roles typically occurs within 3-5 years for high performers, given the specialized nature of AI/ML expertise and the rapid growth of AI initiatives in global banking. The scarcity of experienced AI professionals in financial services accelerates advancement opportunities.

Potential Next Roles

Lead AI/ML Architect responsible for designing enterprise-wide AI strategy and technical architecture across multiple business units Principal Data Scientist or AI Research Director leading larger teams and driving innovation strategy at the organizational level Technology Leadership roles such as AI/ML Engineering Manager or Director of Data Science with expanded team management and strategic responsibilities

Company Overview

The Hongkong and Shanghai Banking Corporation Limited

HSBC is one of the world's largest banking and financial services organizations, serving approximately 41 million customers across 64 countries and territories. The bank's Group Chief Information Officer organization represents a critical strategic function responsible for technology innovation, digital transformation, and maintaining the technological infrastructure that supports global banking operations worth trillions in assets.

HSBC maintains a position among the top 5 global banks by assets and operates as a systemically important financial institution with strong presence in Europe, Asia-Pacific, and emerging markets. The bank's technology investments and digital transformation initiatives are closely watched by the industry as indicators of banking sector evolution.
Hong Kong serves as HSBC's largest market and historical home base, making this role particularly significant within the organization's strategic technology development. The position offers exposure to both Asian market dynamics and global banking operations, providing unique insights into international financial technology trends.
HSBC maintains a professional, collaborative culture with emphasis on diversity, inclusion, and continuous learning. The global nature of operations requires strong cross-cultural communication skills and adaptability to different time zones and working styles across international teams.
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