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Some careers have more impact than others.

If you’re looking for a career where you can make a real impression, join HSBC and discover how valued you’ll be.

We are currently seeking an experienced professional to join our team in the role of Associate Director, Software Engineering Specialist.

Business: EMERGING TECHNOLOGY

Principal responsibilities

? AI/ML Solutions: Mine, analyze, and model large structured and unstructured data using advanced statistical, predictive models, and machine learning algorithms to deliver strategic solutions and actionable business recommendations.

? AI/ML Integration: Lead the integration and application of AI/ML technologies, with a focus on GenAI ones including LLMs, Retrieval-Augmented Generation (RAG) systems, and agentic AI, to enhance data-driven solutions and streamline business processes.

? Commercialization of Analytics Solutions: Drive the commercialization of analytics-led solutions by applying appropriate methodologies, ensuring effective business application, and rigorously evaluating results.? Banking Business Insight & Strategy: Maintain a deep understanding of banking business dynamics, anticipate business problems and priorities, and explore data to conduct quantitative analysis for root cause identification and opportunity discovery.

? AI Solutions Development: Drive and deliver AI/ML-Ops solutions, ensuring scalability, robustness, and alignment with business objectives and performance metrics.

? Stakeholder Management: Collaborate with and influence a wide range of partners and stakeholders to ensure successful implementation of AI/machine learning solutions with well-defined performance measurement.

? Timely Analytics Deliverables: Ensure the delivery of timely and quality analytics outputs to meet business needs effectively in a dynamic environment.

? Knowledge Sharing & Collaboration: Share knowledge and best practices, working collaboratively across teams to create a productive, diverse, and supportive working environment.

Requirements

? Experience: 10+ years working experience in analytics, modeling, and machine learning/AI/Generative AI, with proven experience in people management or collaboration with offshore teams.

? Educational Background: MS/PhD degree (preferred) in Statistics, Mathematics, Computer Science, Information Systems, or a related discipline.

? Data Mining Expertise: Extensive experience and skill in mining massive volumes of data for quick insight discovery.? Machine Learning Proficiency: In-depth knowledge and experience with machine learning techniques and algorithms.

? Technical Skills: Proficient in Python/R, Command Line, SQL/BigQuery, AI frameworks (e.g., PyTorch, TensorFlow, Keras, Hugging Face), data visualization tools such as Tableau/QlikSense, and cloud platforms (AWS, GCP, Ali Cloud).

? Generative AI Skills: Experience with embedding techniques, Retrieval-Augmented Generation (RAG), prompting, and LLM fine-tuning; Understanding of Agentic AI.

? Risk and Governance: Experience in managing machine learning model/AI/Generative AI-related risk and control governance.

? AI Research: Ability to interpret and apply AI academic research in Generative AI, Machine Learning to real-world applications; Ability to conduct experiments, draft and publish papers/patents.

? Communication Skills: Ability to communicate with impact, ensuring complex information is articulated effectively to diverse audiences.

? Interpersonal and Organizational Skills: Strong communication, interpersonal, organizational, problem-solving, and presentation skills, with a keen business acumen.

? Customer Service Orientation: A strong sense of ownership and service mindset to ensure efficient and effective customer service delivery.