Some careers shine brighter than others.

If you’re looking for a career that will help you stand out, join HSBC and fulfil your potential. Whether you want a career that could take you to the top, or simply take you in an exciting new direction, HSBC offers opportunities, support and rewards that will take you further.

HSBC is one of the largest banking and financial services organisations in the world, with operations in 64 countries and territories. We aim to be where the growth is, enabling businesses to thrive and economies to prosper, and, ultimately, helping people to fulfil their hopes and realise their ambitions.

We are currently seeking an experienced professional to join our team in the role of Consultant Specialist

In this role, you will:

The role will be responsible for driving AI solutions for portfolio accountability management. The solutions could span from interactive chatbots, what-if scenario simulators, prediction models and recommendations engine. The AI solutions would be crucial up to speed up problem solving decisions for technology Ex Co PAM community. The decisions must be data driven and should enable the global technology portfolio to achieve its committed business outcomes.Central Portfolio Accountability Management (PAM) is a horizontal function that cuts across HSBCs global technology portfolios. The function offers a unique opportunity to focus on wide range of scenarios for problem-solving and identify opportunities that would keep the portfolios delivering on track. This opens a fantastic prospect to unleash your talent and while learning latest insight techniques with emerging tech. The role also offers a cross functional exposure and networking opportunity while closely gaining exposure to executive priorities at a bank-wide level.Well-versed in machine learning, model building and validation, evaluate and decide whether an AI system can serve the purpose it was built for or not. Manage RD (research and development) to meet the needs of our AI strategy, Designing, developing, and implementing AI models and algorithms to address business challenges and adjusting to improve outcomes. Use AI analysis to make strategy recommendations that align with company goalsAble to explain AI solutions and maintaining clear traceability / audit of path to outcomes for technical and non-technical audience.Analyse large datasets to extract meaningful insights and patterns that can inform AI model development. Use diverse datasets to optimise and fine-tuning existing AI models to enhance their accuracy, efficiency, and performance.Collaborating with cross-functional teams of data scientists, software developers, and business stakeholders to understand requirements and translate them into AI solutions and to preprocess clean data for AI models.Building end to end AI solutions including infrastructure set up and deploying into production environments, ensuring their integration with existing systems where applicable to elevate user experience.Troubleshooting and resolving issues related to AI systems. Strategic thinking in systems capacity planning, hardware and software updates, and migration. Lead disaster recovery and business continuity planning for AI computing infrastructureCreate and maintain documentation for AI models, algorithms, workflows, architecture roadmaps, reference architectures, and standard operating procedures for AI solutions.Provide expert consultation on AI-related standards, best practices, and governance frameworks.Articulate and document lessons learned for each exploration and accelerated incubationStay current on AI knowledge, trends, ethical guardrails and regulations.Deliver to the backlog with a commercial mindset to derive highest ROI.Uncover problems / opportunities with data-oriented approach and recommend solution options if available.Establish a strong collaborative feedback loop which contributes to maturity of service.Translate insights into clear, creative, and compelling stories “in corporate context.”Create a network of information sources to deliver the most accurate solutions and where the team is embraced as a trusted thought partner.Inspire cross-functional teams to adopt AI solutions and make them better to elevate customer experience.Strong business know-how (widely within business, transformation technology organization)Clear understanding of technology delivery methodologies real-world applicability / challengesStrong experience and understanding of project management to understand the data and its correlation