Job Description
You will utilize your understanding of regulatory drivers such as Solvency II, IFRS 17, and BCBS239, alongside data management frameworks like DAMA and DCAM, to aid clients in crafting sustainable data strategies with effective governance, helping insurers and banks alike enhance their data maturity, governance, and reporting practices through innovative and sustainable means.
Key Responsibilities:
Data Strategy Development: Assist in developing enterprise-wide data strategies and operating models that embed sustainable data management and AI practices. Ensure these strategies align with sector-specific regulatory and operational requirements, supporting global regulatory standards.
Data Governance Support: Contribute to advisory work by helping clients improve data quality, lineage, and controls. Address regulatory gaps, strengthen internal oversight, and enable greater confidence in reporting and analytics, thereby enhancing their data governance capabilities.
AI and Automation Integration: Leverage AI and automation to enhance the scalability and performance of data management and implementation activities. This includes improving data discovery, data quality monitoring, and policy enforcement to support AI adoption effectively.
Value Addition for Clients: Add value to clients by providing insights and practical solutions to improve their data governance and management practices. Utilize knowledge of industry opportunities to help clients achieve greater effectiveness and innovation.
Promotion of Data Governance Culture: Support the promotion of a robust data governance culture that integrates people, processes, and technology. This effort aids in risk reduction and fosters business insights and innovation.
Engagement and Collaboration: Collaborate on engagements, supporting teams in meeting client requirements and understanding regulatory demands. Facilitate teamwork and ensure alignment with client goals.
Team Development and Delivery: Contribute to delivery efforts and support the growth of diverse teams by utilizing AI and technological tools under guidance. Enhance team capabilities in delivering innovative solutions.
Communication Skills Development: Cultivate strong written and verbal communication skills to effectively convey policies and strategies. Provide recommendations and engage with key stakeholders across business and technology contexts.
Participation in Change and Risk Projects: Participate in business change and risk transformation projects, assisting with client program management and providing timely updates to Managers. Develop strategies for overcoming technical challenges and support firms in reassessing risk approaches and implementing effective changes.
Client Relationship Management: Assist in building and maintaining client relationships by identifying opportunities to broaden engagement with both new and existing clients. Drive collaboration and foster long-term partnerships.
Preferred Skills
Experience within Financial Services
Experience in consulting
Familiarity with insurance markets and regulations (e.g., Solvency II, IFRS 17, PRA), or banking regulations (e.g. BCBS 239)
Experience in transformation programs focused on data maturity and regulatory remediation.
Practical knowledge of data governance frameworks and tools
Understanding of AI/ML adoption and governance in insurance or banking
Exposure to cloud data environments and modern data architectures
Key Responsibilities:
Data Strategy Development: Assist in developing enterprise-wide data strategies and operating models that embed sustainable data management and AI practices. Ensure these strategies align with sector-specific regulatory and operational requirements, supporting global regulatory standards.
Data Governance Support: Contribute to advisory work by helping clients improve data quality, lineage, and controls. Address regulatory gaps, strengthen internal oversight, and enable greater confidence in reporting and analytics, thereby enhancing their data governance capabilities.
AI and Automation Integration: Leverage AI and automation to enhance the scalability and performance of data management and implementation activities. This includes improving data discovery, data quality monitoring, and policy enforcement to support AI adoption effectively.
Value Addition for Clients: Add value to clients by providing insights and practical solutions to improve their data governance and management practices. Utilize knowledge of industry opportunities to help clients achieve greater effectiveness and innovation.
Promotion of Data Governance Culture: Support the promotion of a robust data governance culture that integrates people, processes, and technology. This effort aids in risk reduction and fosters business insights and innovation.
Engagement and Collaboration: Collaborate on engagements, supporting teams in meeting client requirements and understanding regulatory demands. Facilitate teamwork and ensure alignment with client goals.
Team Development and Delivery: Contribute to delivery efforts and support the growth of diverse teams by utilizing AI and technological tools under guidance. Enhance team capabilities in delivering innovative solutions.
Communication Skills Development: Cultivate strong written and verbal communication skills to effectively convey policies and strategies. Provide recommendations and engage with key stakeholders across business and technology contexts.
Participation in Change and Risk Projects: Participate in business change and risk transformation projects, assisting with client program management and providing timely updates to Managers. Develop strategies for overcoming technical challenges and support firms in reassessing risk approaches and implementing effective changes.
Client Relationship Management: Assist in building and maintaining client relationships by identifying opportunities to broaden engagement with both new and existing clients. Drive collaboration and foster long-term partnerships.
Preferred Skills
Experience within Financial Services
Experience in consulting
Familiarity with insurance markets and regulations (e.g., Solvency II, IFRS 17, PRA), or banking regulations (e.g. BCBS 239)
Experience in transformation programs focused on data maturity and regulatory remediation.
Practical knowledge of data governance frameworks and tools
Understanding of AI/ML adoption and governance in insurance or banking
Exposure to cloud data environments and modern data architectures
💡 Quick Summary
Seeking a career-building opportunity? The FS - Banking and Insurance Data Senior Associate position is now open for candidates interested in the Bank Jobs sector. This role in Edinburgh offers a professional environment and growth potential.
Requirement Snapshot: Candidates should possess basic communication skills, a proactive attitude, and the ability to work in a team. Experience in Bank Jobs is a plus.
