Senior Data Management Lead at HSBC Securities Services Luxembourg

Sheffield, England, United Kingdom -

Full Time

Start Date

Immediate

Expiry Date

28 Jan, 26

Salary

0.0

Posted On

30 Oct, 25

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Strategy, Data Risk Controls, Governance, Data Issues Remediation, Stakeholder Engagement, Data Transformation, BCBS239 Regulation, Team Management, Data Insights, Analytics, Machine Learning, Reporting, Modelling, Data Manipulation, Technology Partnership, Data Policy

Industry

Financial Services

Description

If you’re looking for a career where you can make a real impression, join 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 Management Lead This is a global role involving multiple LOB’s and Regions. The data function is supporting several hundred analytics professionals engaged in reporting, modelling, analytics, and data manipulation. As a result, there are significant data challenges and opportunities relating to data, analytics, modelling, and machine learning. There is an opportunity to shape the BCBS data delivery strategy for WPB Risk. Hybrid working environment with focus on delivery. 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: Drive the data strategy to implement consistent production of BCBS metrics across lines of business Implement optimum data risk controls and governance required for data consumed by the Risk Reporting processes Close engagement with risk users to identify and to remediate the data issues. Close engagement with business stakeholders, demonstrating knowledge of their data and controls landscape Work in close partnership with Technology, DAO, Architecture and Business teams to deliver on key outcomes Work in close partnership with data risk policy stakeholders within group To be successful in this role, you should meet the following requirements: • Experience of implementing controls at scale across mutiple geographies within a financial services organisation • Strong experience in handling large volume of data within an enterprise level organisation and manageing large data transformation projects • Experience in the implementation of BCBS239 regulation • Team Management experience, especially evidence of successfully manageing offshore resources • Ability to distil, synthesise complex and verised Data into actionable insights and recomendations This role is based in Leeds, Sheffield, Birmingham, Chester, Edinburgh. 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, 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. If you have a need that requires accommodations or changes during the recruitment process, please get in touch with our Recruitment Helpdesk: Email: hsbc.recruitment@hsbc.com Telephone: +44 207 832 8500

Responsibilities

Drive the data strategy to implement consistent production of BCBS metrics across lines of business and implement optimum data risk controls and governance. Engage closely with risk users and business stakeholders to identify and remediate data issues.