HSBC | Data Engineer | Check Details

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 Data Engineer – Global Markets.

Job Description :-

In this role, you will:

• The MSS AI team works with Front Office and leads the enablement and development of market leading Artificial Intelligence (AI) and Machine Learning (ML) solutions for the Markets and Securities Services division.
• The team acts both as advisor and builder of novel AI/ML solutions for clients, sales, and trading, and collaborates across MSS business lines and HSBC divisions.
• We seek to bring innovative ideas and approaches to both AI/ML solutions and to the data sources which underpin their use to solve existing and new business problems, and to highlight market and client opportunities. 
• You will be joining as a Data Engineer  as part of a global team. As part of the team you will build, experiment and productionise AI/ML solutions which deliver value to business and clients in close partnership with sales and trading.  
• We are looking for bold, enthusiastic talent who will bring a continuous learning appetite and curiosity to their work. HSBC offers exciting work in a fast-moving environment and in return you will have the chance to build rewarding transformational solutions and build your experience and career.
• Source internal/external data for cross-asset data applications. Build data dictionary, data staging, integration, permission controls to enable fast data discovery and access.
• Build advanced data analytics for both structured and unstructured data, e.g. time series market data, news, document processing etc.
• Build scalable data pipelines and APIs to enable big and fast data processing for AI/ML applications, e.g. GenAI, NLP and traditional machine learning
• Understanding and contributing to the technical solution from design through to code. Responsibility for ensuring that risks and issues are identified and managed closely to deliver on time and to the required quality standards whilst adhering to the SDLC
• Run post implementation reviews helping to demonstrate success or otherwise of deliveries.

To be successful you will:

• Proficient in Python in enterprise environment. Proficient in RDBMS/NoSQL databases, e.g. SQL, MongoDB, KDB, PG Vector etc
• Good experience of big data processing, e.g. Spark/BigQuery. Good experience of Cloud platforms, e.g. GCP, Azure
• Good experience with CI/CD pipelines (e.g., Jenkins), version control (Git), software testing, and a solid understanding of DevOps methodologies. Good experience of API development and permission controls
• Good knowledge of overall computer science, e.g. programming, distributed computing, OS, security, networks.
• Understanding how to design and build data models, data warehouses, and data pipelines. Experience of other programming languages is a plus, e.g. Java/C++/Javascript.

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