If you’re looking for a career where you can make a real impression, join Global Service Center (GSC) HSBC and discover how valued you’ll be. 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 Senior Data Scientist.

Role Purpose:

The Data Science Engineering teams in the wholesale chief data and analytics office is working to deliver an ecosystem of curated, enriched and protected sets of data – created from global, raw, structured and unstructured sources. Our Wholesale Big Data Lake is the largest aggregation of data ever within HSBC. We have over 300 sources which equate to more than 20PTB of data, with a use case portfolio of over 110 projects that span all the business lines within wholesale.

We are utilising the latest machine learning tools and technologies to solve these hypotheses and deliver value and truly unique insights. Our Data Analytics Ecosystem solves complex problems using cutting-edge technologies; helping to rapidly implement insights from data that can help drive more informed decision making. We deploy smart machines to process complex and large sets of data, impossible in the legacy manual mining methods. Data underpins everything we do; from risk regulatory management, through monetisation, to predicting client behaviour. Role Purpose Reporting to the analytics head based in London/HK which falls under the wider remit of the Chief Data and Analytics Office (CDAO) framework, this is a position responsible for delivery of quality analytics and machine learning based models that will help drive insights and lay the foundation for a data driven culture that promotes decision intelligence.

Main Activities:

Delivering Machine Learning, Generative AI or advanced analytics-based use cases that contribute to the business KPIs and help empower the frontline.Build re-usable robust infrastructures that help reduce overall technical debt and promote engineering and scientific best practices across the team.Work with the leadership team to ensure that the existing models are in line with the business identified strategic deliverables.Understand and collect project requirements, present analysis and/or results. Make recommendations based on them about strategy formulation and solicit project feedback.Advocate and promote the use of data science to drive fact-based activity and in CIB.