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 an exciting new direction, we offer opportunities, support and rewards that will take you further.
We’re one of the largest banking and financial services organisations in the world, with a network that covers more than 50 countries and territories. We aim to be where the growth is, enabling businesses to thrive and economies to prosper, and, ultimately, helping people fulfil their hopes and realise their ambitions.
We’re currently seeking an experienced professional to join our team in the role of Data Analytics Manager.
This is an exciting opportunity to work within our Commercial Banking Redress Analytics Team which is primarily focused on leveraging data analytics to provide high-quality insights and support for HBUK Redress. This role involves identifying customers impacted by banking errors or product issues, calculating refunds, and supporting the fulfilment of redress activities. You’ll collaborate closely with stakeholders across various levels of the organization to ensure robust redress activities are effectively planned and actioned. Keen interest in machine learning is encouraged to drive innovative capabilities and solutions. Your collaboration skills and deep understanding of the banking industry will be essential as you work across complex remediation programs spanning multiple products. Additionally, you’ll mentor colleagues within the analytics team and support the adoption of advanced tools and technologies to align with the team’s analytical goals and overarching strategy.
As an HSBC employee in the UK, you’ll 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’ll
- Identify opportunities to prevent remediation, simplify operations, implement automation or improve efficiency
- Work with a variety of stakeholders from across our business to ensure successful implementation of solutions
- Utilise available tools and technologies to implement data-driven solutions
- Manage a range of high-value and sensitive remediation projects
- Develop and maintain robust, high-quality documentation for audit and knowledge capture
- Act as the business contact for related projects and serve as a subject matter expert in data analytics
- Lead the development, maintenance, and improvement of high-quality strategies to ensure the successful delivery of projects
- Support the Head of Redress by helping shape the analytics pipeline
To be successful in this role you should meet the following requirements:
- Strong analytical reasoning skills to extract data insights, translating them into tangible business objectives
- Technical skills with proficiency in Google Cloud Platform, SAS, Big Query, SQL and Python
- Excellent written and verbal communication skills with the ability to share complex information in a clear, concise, and accurate way
- Strong stakeholder / relationship management skills with experience of collaborating with a variety of senior stakeholders
- Project management experience within Data and Analytics
- Broad based banking experience, financial services or similar
Opening up a world of opportunity 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 - no matter their gender, ethnicity, disability, religion, sexual orientation, socio-economic background or age. We are committed to removing barriers and ensuring careers at HSBC are inclusive and accessible for everyone to be at their best. 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.
