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  4. Wholesale Data & Analytics Internship 2022
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The Wholesale Chief Operating Office, which is where our Data & Analytics Internship is based, is a talented team of around 7,000 colleagues. They work in a variety of middle and back-office roles to support the frontline activities of our Commercial Banking and Global Banking businesses. Together, we deliver the best digital and business solutions, playing an integral part in creating a bank fit for the future by transforming how we serve our customers and colleagues.

Overview

Our Wholesale Chief Operating Office teams partner with all areas of our Commercial Banking and Global Banking businesses, playing an integral part in creating a bank fit for the future by transforming how we serve our customers. We deliver exceptional customer journeys, enable growth and increase efficiency across the entire Wholesale ecosystem. We connect strategy to action; delivering value through deep institutional knowledge, intelligent design and delivery of end-to-end solutions. We leverage digital capabilities and implement innovative technologies.

We do this through close collaboration and by adopting a digital-first, data-led mind-set that unlocks and leverages our scale advantage for maximum impact, both front-to back and end-to-end. Our frontline colleagues are opening a world of opportunities for our customers every day – and our role is to help them get it done safely with speed, ease and excellence.

What you will do

With our Data & Analytics Internship, you’ll take part in a range of activities, projects and networking events. After an induction, where you will learn about our business, culture and how we operate, you will join one of the project teams in our Data business areas. This will give you an insight into our different businesses and the variety of opportunities available at HSBC.

You will be part of a project team that will allow you to develop your analytical skills in various fields. This could be building and changing predictive analytical solutions, big data pipelines, data science and machine learning. You will collaborate with senior leaders and colleagues to create and implement quantitative solutions using different analytical principles. You will also attend educational presentations and workshops throughout your internship to enable you to keep up to date with the fast-paced environment of Data.

Who does this suit?

We want people with more than strong skills and experience; people who look for ways to make a real difference for our clients.

We are looking for dedicated, collaborative and motivated people who are:

  • Committed researchers. Our markets and client needs are constantly changing. You should always be curious; questioning ideas and showing a keen interest in learning about our methods
  • Agile workers. You will work in a fast-paced environment where everything evolves quickly. You’ll maintain momentum by promoting agile working and ensuring we constantly deliver for our clients
  • Analytical thinkers. You’ll need a good eye for detail, a creative mind for analysing trends, and the courage to adopt new analytical methods
  • Team players. We collaborate by listening to new ideas, as well as voicing our own, in order to deliver and develop the best service for our clients
  • Data enthusiasts. This programme will develop your statistical knowledge, passion for data or any programming skills you may already hold. You’ll gain a deep understanding of the theoretical grounds of machine learning and mathematical frameworks

This opportunity will suit those with a foundational level of programming skills in any language. Knowledge of operating systems such as Linux or similar would be advantageous, as would knowledge of Big Data Analysis using Spark or Hadoop or similar, and basic knowledge of data structures/types, algorithms, and control logic.

No direct experience is required for the role, but any previous experience with transferable skills would be advantageous.

What can this lead to?

If you excel in your internship, we will consider you for a role within our Data & Analytics Graduate programme the following year, subject to available opportunities. You could be placed in a more specialised position that suits your skills, working alongside like-minded colleagues who share a passion for backing up client decisions with solid data.