FS - Banking and Insurance Data Senior Associate

Line of Service

Industry/Sector

Specialism

Management Level

Job Description & Summary

About the role

Our Financial Services Technology Data and Resilience (TDR) team helps FS firms navigate a fast-moving regulatory landscape while helping them to manage complex data and technology environments. From shaping data strategies to uplifting their data maturity through enhanced data management practices we combine deep sector insight with leading technology to solve problems alongside our clients.

The essentials

Drawing on your experience in the insurance or banking sectors you will enable clients to modernize and future-proof their data capabilities by designing strategic operating models and deploying fit-for-purpose tools and platforms. With previous experience in the insurance or banking industry or consulting you possess the knowledge to navigate complex industry-specific data challenges including regulatory scrutiny evolving customer expectations and legacy operating models. Additionally your understanding of the data governance ecosystem within the insurance or banking sectorshaped by global regulatory demands global operations and legacy systemsempowers you to facilitate strategic and technological transformations to enhance data governance capabilities.

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

Education (if blank degree and/or field of study not specified)

Certifications (if blank certifications not specified)

Required Skills

Optional Skills

Desired Languages (If blank desired languages not specified)

Travel Requirements

Available for Work Visa Sponsorship

Government Clearance Required

Job Posting End Date