Lead Insight Analyst

HSBC Global Services Limited
Sheffield
6 months ago
Applications closed

Related Jobs

View all jobs

Lead Data Analyst

Senior Data Analyst

Data Analyst

Data Analyst

Data Analyst

Data Analyst

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.

 

Our Wealth and Personal Banking business supports millions of individuals, families, business owners, investors and entrepreneurs worldwide. We provide products and services that include current accounts, credit cards, personal loans and mortgages, as well as savings, investments, insurance and wealth management. We also have specialised relationship managers who support customers with bespoke requirements, including high net worth and ultra-high-net-worth clients.

 

The UK Analytics & CRM team is part of the Global Data, Analytics & CRM team, this is a thriving and expert Analytics & CRM function supporting HSBC globally. The department is at the centre of excellence utilising data to drive insight, identifying opportunities to increase revenue, driving customer intelligence and marketing; using Machine learning to communicate the right message, to the right customer, at the right time, alongside driving revenue generating initiatives such as; pricing analytics, channel improvement and campaign effectiveness to name a few. The team actively handles a varied and dynamic range of business problems, using a data driven approach to solve, whilst managing communication effectiveness to maximise customer reach, the team is a critical pillar to driving sustainable growth.

 

As part of our package, we provide a range of training to support your continued development of banking, data, analytics, CRM, leadership and technical skills. With multiple teams across the Data, Analytics & CRM department, there are plenty of opportunities to grow and develop in your way!

 

As an HSBC employee in the UK, you will have access to tailored professional development opportunities and a competitive pay and benefits package. This includes private healthcare for all UK-based employees, enhanced maternity and adoption pay and support when you return to work, and a contributory pension scheme with a generous employer contribution.

 

In this role you will be:

 

  • Consulting with stakeholders to understand and translate business needs into data products for reporting, visualization, analytics and machine learning, finding quantitative solutions to business problems and articulate the results clearly to all stakeholders. Defining, building and maintaining data products such as tables, views and segments, along with corresponding metadata and code base.
  • Collaborating with global teams on the development of global data products and metadata standards and carrying out mathematical and statistical tests on large and complex data sets for stress testing and modelling. Developing, deploying and maintaining models which can predict, forecast and simulate scenarios with different variables.
  • Completing analysis on the following areas: consumer behaviour, segmentation, marketing and pricing, and delivering insight and proactively identifying opportunities to drive growth. Supporting with regulatory programmes, and ensuring highest levels of data accuracy and integrity, working to data usage and protection guidelines.
  • Supporting growth in the business through the delivery of Wealth & Personal Banking initiatives, delivering analytics to enable the design and roll-out of new lending products, enhancing existing product features and managing the exposure of our existing customers.
  • Leading complex analytical projects to completion with minimal guidance, and, formulating and clearly communicating conclusions and proposals considering the risk, reward and customer impact, collaborating with teams to make decisions.
  • The role is focussed on Lending, therefore you will be leading complex analytical projects that could be supporting Secured or Unsecured, and also areas such as (and not limited to) Acquisition, Targeting and Marketing, Balance Growth, Spend Growth, Pricing, Regulatory or Alternative lending to name a few.

 

To be successful in this role you should meet the following requirements:

 

  • Previous experience in a Risk Analytics or an Analytics based role is essential. Experience of working within secured or unsecured products is desirable but not essential.
  • An understanding of consumer lending products, profitability and credit risk and proven ability to drive rapid insights from available data to drive business forward is critical. 
  • Applicants must have a track record of analytical capabilities using relevant software packages (i.e. SAS/SQL/VBA/Python) to analyse large amounts of data, draw conclusions and drive actions.
  • Extensive experience of data technologies, including relational, dimensional, NoSQL data platforms plus metadata and data transformation tools, and experience of traditional warehouse technologies (Teradata) and analytics platforms (SAS)
  • Experience of successful project management, working across a range of teams to deliver with a knowledge of FCA regulations and experience of their application in a consumer lending environment.

 

This is a hybrid working role with the base location as either Birmingham, Leeds, Sheffield, or Chester.

 

Being open to different points of view is important for our business and the communities we serve. At HSBC, we’re dedicated to creating diverse and inclusive workplaces. Our recruitment processes are accessible to everyone - no matter their gender, ethnicity, disability, religion, sexual orientation, or age.

 

We take pride in being a Disability Confident Leader and will offer an interview to people with disabilities, long term conditions or neurodivergent candidates who meet the minimum criteria for the role.

 

If you’d like to apply for one of our roles and need adjustments made, please get in touch with our Recruitment Helpdesk:

 

Email:

Telephone:

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Top 10 Mistakes Candidates Make When Applying for Machine-Learning Jobs—And How to Avoid Them

Landing a machine-learning job in the UK is competitive. Learn the 10 biggest mistakes applicants make—plus tested fixes, expert resources and live links that will help you secure your next ML role. Introduction From fintechs in London’s Square Mile to advanced-research hubs in Cambridge, demand for machine-learning talent is exploding. Job boards such as MachineLearningJobs.co.uk list new vacancies daily, and LinkedIn shows more than 10,000 open ML roles across the UK right now. Yet hiring managers still reject most CVs long before interview—often for avoidable errors. Below are the ten most common mistakes we see, each paired with a practical fix and a live resource link so you can dive deeper.

Top 10 Best UK Universities for Machine Learning Degrees (2025 Guide)

Explore ten UK universities that deliver world-class machine-learning degrees in 2025. Compare entry requirements, course content, research strength and industry links to find the programme that fits your goals. Machine learning (ML) has shifted from academic curiosity to the engine powering everything from personalised medicine to autonomous vehicles. UK universities have long been pioneers in the field, and their programmes now blend rigorous theory with hands-on practice on industrial-scale datasets. Below, we highlight ten institutions whose undergraduate or postgraduate pathways focus squarely on machine learning. League tables move each year, but these universities consistently excel in teaching, research and collaboration with industry.

How to Write a Winning Cover Letter for Machine Learning Jobs: Proven 4-Paragraph Structure

Learn how to craft the perfect cover letter for machine learning jobs with this proven 4-paragraph structure. Ideal for entry-level candidates, career switchers, and professionals looking to advance in the machine learning sector. When applying for a machine learning job, your cover letter is a vital part of your application. Machine learning is an exciting and rapidly evolving field, and your cover letter offers the chance to demonstrate your technical expertise, passion for AI, and your ability to apply machine learning techniques to solve real-world problems. Writing a cover letter for machine learning roles may feel intimidating, but by following a clear structure, you can showcase your strengths effectively. Whether you're just entering the field, transitioning from another role, or looking to advance your career in machine learning, this article will guide you through a proven four-paragraph structure. We’ll provide practical tips and sample lines to help you create a compelling cover letter that catches the attention of hiring managers in the machine learning job market.