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

Apply Now

Asset Data Analyst

Legal And General Group
City of London
1 week ago
Create job alert
Overview

Legal & General (L&G) is a leading UK financial services group and major global investor. We’ve been safeguarding people’s financial futures since 1836, and strive to build a better society, while improving the lives of our customers and creating value for shareholders. We are one of the world’s largest asset managers and provide powerful asset origination capabilities. Together, these underpin our retirement and protection solutions: we are an international player in pension risk transfer, in UK and US life insurance, and in UK workplace pensions and retirement income. L&G Institutional Retirement looks after around 700,000 institutional customers who have their retirement benefits secured with us. Operating continuously in the UK market from our entrance in 1987, we are the UK’s longest-running insurer. Our Institutional Retirement division provides pension risk transfer (PRT) solutions for UK and US defined benefit (DB) schemes, and reinsurance solutions from our global hub in Bermuda. We work with companies, DB pension schemes and their advisors to help them secure and protect scheme members’ retirement benefits. Joining us means you’ll support customers’ financial security in retirement; help companies to settle their pension liabilities and focus on growing their businesses; and enable investment for the long term to back our pension promises.


Job Description

We are seeking an Asset Data Analyst with a proactive and inquisitive mindset to play a key role in maintaining the integrity and quality of financial and asset data. This position will have a particular focus on supporting our Pension Risk Transfer (PRT) business. The ideal candidate will be a tech-savvy data professional with strong analytical capabilities, deep knowledge of financial instruments, and a proven ability to deliver clear, actionable insights that drive business decisions.


Responsibilities

  • Analysing asset and financial data to uncover trends, anomalies, and opportunities, and translating complex findings into clear, actionable insights
  • Leveraging technical expertise to query data, automate processes, and build dynamic dashboards and reports—primarily using Snowflake and other cloud-based platforms
  • Overseeing outsourced asset data management, ensuring third-party providers meet SLAs, quality standards, and compliance requirements
  • Acting as the key liaison between internal stakeholders and external teams, driving issue resolution and continuous improvement
  • Partnering with portfolio managers, risk analysts, and other stakeholders to understand data needs and deliver impactful solutions
  • Contributing to the development of a robust data governance framework and ensuring adherence to governance policies and high data quality standards
  • Implementing governance, reporting, and escalation processes to ensure customer-impacting changes meet business and stakeholder expectations

Qualifications

  • Degree or equivalent experience in data management (preferred)
  • Strong knowledge of IBOR/ABOR, financial instruments, and reference/party data
  • Solid understanding of asset valuations and curve inputs (e.g. inflation, interest rates)
  • Proficiency in Alteryx, Power BI, Snowflake, and LUSID
  • Experience in asset management, ideally within Pension Risk Transfer (PRT)
  • Ability to communicate complex data clearly across technical and non-technical audiences
  • Proven leadership in mentoring and fostering collaborative team environments

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 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

Whatever your role, we reward performance and behaviour with a package that looks after all the things that are important to you. Here are some of the benefits we offer


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.


#J-18808-Ljbffr

Related Jobs

View all jobs

Asset Data Analyst

Business Data Analyst

Data Analyst

Market Data Analyst

Data Science Analyst

Senior Business/Data Analyst- Asset Management

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.