Join Legal & General Investment Management as a Senior Liability Data Analyst specializing in Scheme Transitions, where you'll analyze complex pension liability data to facilitate smooth scheme transfers and ensure compliance with regulatory standards. This role offers an opportunity to leverage your expertise in data analytics within a leading investment management firm committed to innovation in financial services.

Legal & General Investment Management is seeking a Senior Liability Data Analyst - Scheme Transitions to join our dynamic team in Hove. In this pivotal role, you will play a key part in managing the data aspects of pension scheme transitions, ensuring accurate valuation and projection of liabilities during transfers between schemes or providers.

Your primary responsibilities will include extracting, cleansing, and analyzing large volumes of liability data from various sources, such as member records and actuarial models. You will collaborate closely with actuaries, investment managers, and client services teams to validate data integrity and support decision-making processes that minimize risks in scheme transitions.

Key tasks encompass developing automated reporting tools for liability metrics, conducting impact assessments for regulatory changes like IFRS 17, and contributing to the optimization of data workflows to enhance efficiency in transition projects. This position requires a deep understanding of pension fund dynamics and the ability to translate complex data into strategic insights that drive successful outcomes for our clients.

As part of a forward-thinking organization, you will have the chance to innovate in data analytics within the financial services sector, contributing to sustainable investment solutions that benefit millions. If you are passionate about data-driven finance and scheme management, this role offers substantial growth potential in a supportive team environment.

• Bachelor's degree in Finance, Actuarial Science, Data Analytics, or a related field; advanced degree preferred.
• Minimum 5 years of experience in data analysis, preferably in pensions, insurance, or financial services.
• Proficiency in SQL, Python, or R for data manipulation and analysis; experience with actuarial software (e.g., Prophet, Mo.net) is advantageous.
• Strong understanding of pension scheme liabilities, IFRS 17, and regulatory frameworks in the UK financial sector.
• Excellent analytical skills with the ability to handle large datasets and derive actionable insights.
• Proven experience in scheme transitions or mergers and acquisitions within financial services.
• Strong communication skills to collaborate with actuarial, investment, and client teams.
• Ability to work under pressure in a fast-paced environment with attention to detail.

• Competitive salary with performance-based bonuses.
• Comprehensive pension scheme and life assurance coverage.
• 25 days of annual leave, plus bank holidays and flexible working options.
• Professional development opportunities, including training and certification support.
• Health and wellbeing benefits, including private medical insurance and gym membership discounts.
• Collaborative and inclusive work environment with access to hybrid working arrangements.
• Employee assistance program for mental health and financial wellbeing support.