Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Senior Liability Data Analyst

LegalAndGeneral
City of London
2 weeks ago
Create job alert

This job is brought to you by Jobs/Redefined, the UK's leading over-50s age inclusive jobs board.

Job Description

At Legal & General, we're building a better society by investing in the things that matter - homes, health, and a secure retirement. As a Senior Liability Data Analyst, you'll play a key role in ensuring the integrity and accuracy of pension scheme data, helping us deliver outstanding outcomes for our customers. This is a great opportunity to join a collaborative team where your analytical expertise and pensions knowledge will make a real impact.

What you'll be doing:

  • Managing operational data tasks including cleansing, validation, transformation and integration
  • Consulting with internal stakeholders to understand data requirements and deliver tailored solutions
  • Collaborating with partners to improve data quality across systems
  • Testing and documenting processes to ensure consistency and reliability
  • Creating and maintaining audit trails for all data activities
  • Communicating key updates to internal teams and third parties
  • Supporting the development of junior team members through training and guidance
  • Contributing to the delivery of Pension Risk Transfer transactions from end to end
Qualifications

Who we're looking for:

  • Experience working with defined benefit pension schemes
  • Strong technical aptitude and advanced Excel skills
  • Familiarity with Python, SAS or SQL is beneficial
  • Ability to manage tight deadlines and prioritise effectively
  • Understanding of project management and testing frameworks
  • Knowledge of relevant legislation including GDPR and Treating Customers Fairly
  • A collaborative mindset and commitment to excellent customer outcomes
  • Degree in mathematics, statistics or equivalent experience
Benefits
  • The opportunity to participate in our annual, performance-related bonus plan and valuable share schemes
  • Generous pension contribution
  • Life assurance
  • Healthcare Plan (permanent employees only)
  • At least 25 days holiday, plus public holidays, 26 days after 2 years' service. There's also the option to buy and sell holiday
  • Competitive family leave
  • Participate in our electric car scheme, which offers employees the option to hire a brand-new electric car through tax efficient salary sacrifice (permanent employees only)
  • There are the many discounts we offer - both for our own products and at a range of high street stores and online
  • In 2023, some of our workspaces were redesigned. Our offices are great spaces to connect and collaborate and have your wellbeing at the heart
Additional Information

At L&G, we believe it's possible to generate positive returns today while helping to build a better future for all.

If you join us, you'll be part of a welcoming, inclusive culture, with opportunities to collaborate with people of diverse backgrounds, views, and experiences. Guided by leaders with integrity who care about your future and wellbeing. Empowered through initiatives which support people to develop their careers and excel.

We care passionately about outcomes rather than attendance and are therefore open to discussing all kinds of flexible working options including part-time, term-time and job shares. Although some roles have limited flexibility due to customer demand, we accommodate requests when we can.

It doesn't matter if you don't meet every single criterion in this advert. Instead, think about what you excel at and what else you can bring in terms of strengths, potential and connection to our purpose.

Videos To Watch


#J-18808-Ljbffr

Related Jobs

View all jobs

Senior Liability Data Analyst

Senior Liability Data Analyst

Senior Liability Data Analyst

Corporate Treasury - Quantitative Engineering - Analyst - London

Corporate Treasury - Quantitative Engineering - Analyst - London

Corporate Treasury - Quantitative Engineering - Analyst - London

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Data Science Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK data science hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise rigorous problem framing, high‑quality analytics & modelling, experiment/causality, production awareness (MLOps), governance/ethics, and measurable product or commercial impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for product/data scientists, applied ML scientists, decision scientists, econometricians, growth/marketing analysts, and ML‑adjacent data scientists supporting LLM/AI products. Who this is for: Product/decision/data scientists, applied ML scientists, econometrics & causal inference specialists, experimentation leads, analytics engineers crossing into DS, ML generalists with strong statistics, and data scientists collaborating with platform/MLOps teams in the UK.

Why Data Science Careers in the UK Are Becoming More Multidisciplinary

Data science once meant advanced statistics, machine learning models and coding in Python or R. In the UK today, it has become one of the most in-demand professions across sectors — from healthcare to finance, retail to government. But as the field matures, employers now expect more than technical modelling skills. Modern data science is multidisciplinary. It requires not just coding and algorithms, but also legal knowledge, ethical reasoning, psychological insight, linguistic clarity and human-centred design. Data scientists are expected to interpret, communicate and apply data responsibly, with awareness of law, human behaviour and accessibility. In this article, we’ll explore why data science careers in the UK are becoming more multidisciplinary, how these five disciplines intersect with data science, and what job-seekers & employers need to know to succeed in this transformed field.

Data Science Team Structures Explained: Who Does What in a Modern Data Science Department

Data science is one of the most in-demand, dynamic, and multidisciplinary areas in the UK tech and business landscape. Organisations from finance, retail, health, government, and beyond are using data to drive decisions, automate processes, personalise services, predict trends, detect fraud, and more. To do that well, companies don’t just need good data scientists; they need teams with clearly defined roles, responsibilities, workflows, collaboration, and governance. If you're aiming for a role in data science or recruiting for one, understanding the structure of a data science department—and who does what—can make all the difference. This article breaks down the key roles, how they interact across the lifecycle of a data science project, what skills and qualifications are typical in the UK, expected salary ranges, challenges, trends, and how to build or grow an effective team.