Senior Risk Manager - Data Risk

Join to apply for the Senior Risk Manager – Data Risk role at OSB Group
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This range is provided by OSB Group. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

£68,000–£80,000.

The Technology and Transformation Risk Team is part of the wider risk management function responsible for providing check and challenge to the first line over their risk profile.

The key purpose of Senior Risk Manager, Data Risk is to provide independent, forward‑looking oversight of data risk across the organisation. Acting as the second line of defence, to ensure that data integrity, security, and resilience risks are identified, assessed, and managed in line with the Group's defined risk appetite, policies, and the Data Risk Framework.

Your responsibilities will include:

• Supporting and engaging with 1
  
  LOD business and controls functions to ensure effective adherence to the Data risk management principles and framework ensuring that 1
  
  LOD fully adheres to the 3
  
  LOD disciplines based on defined 1
  
  LOD and 2
  
  LOD roles and responsibilities
• Working with First Line business areas to embed and maintain a robust and efficient process-driven RCSA, providing Second Line of Defence support through a combination of RCSA deep dives and reviews
• Delivering 2
  
  LoD opinion over the assessment of risks linked to data integrity, availability, and resilience, including dependencies on critical data assets and Important Business Services (IBS) in relation to the Group’s wider strategic initiatives and projects
• Structuring, organising and delivering the 2
  
  LOD Data Risk team to ensure effective assessment, monitoring and reporting of data risk activities
• Working closely with the Group Operational Risk team to ensure that Data risk (including AI) is integrated into overall risk appetite
• Ensuring second line oversight is provided as designed to ensure that the data used for financial reporting and to support legal and regulatory requirements is accurate, valid, reliable, traceable, timely, available, secure, and consistent
• Providing oversight of third‑party and concentration risks, ensuring dependencies on external data sources, platforms and vendors are identified and managed
• Collaborating with Model Risk to ensure oversight of model and analytics risk, including bias, drift, explainability and responsible use of AI/ML
• Ensure second line oversight is provided as designed to lead the development, publishing and maintenance of the organisation’s data risks, controls and processes
• Delivering second line oversight processes as intended to ensure continued compliance to GDPR principles and evolving regulatory requirements, including privacy, AI and localisation rules

We offer a base salary dependent on experience from £68,000 - £80,000 and a competitive benefits package including:

• Discretionary annual bonus opportunity of up to 15%
• 28 days annual leave plus bank holidays
• Access to Private Medical Insurance and Medical Cash Plan

Please use this link to see the fantastic benefits available at OSB: OSB Careers.

At OSB Group, we understand how much our people bring to our organisation, which is why we try our best to give back too! Our Purpose is to help our customers, colleagues and communities prosper and we are on a transformation journey to become 'the bank of the future'.

Our commitment to professional development, flexible working, and employee well‑being fosters a dynamic and supportive workplace.

We are looking for talented individuals who have the experience and knowledge set out below:

• Proven track record in a data‑related management role, with demonstrable oversight of risks linked to data integrity, security, and resilience, including dependencies on critical data assets and Important Business Services
• Extensive experience of building strong collaborative relationships at all levels within a large organisation, including having to interact with and influence senior management
• Robust experience of implementing appropriate and proportionate processes and procedures around data and information management linked to a…