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ESG Data Scientist Analyst

  1. London
  2. Full-time
  3. Solutions Group

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Company Description

We are Legal & General Investment Management (LGIM), the asset-management arm of Legal & General Group. Our purpose is to create a better future through responsible investing. We strive to achieve this through a strong sense of partnership with our clients, working together to achieve positive long-term outcomes. We draw on industry-leading expertise to innovate constantly across public and private assets, index and active strategies. And we are a responsible investor, rising to the challenges of a rapidly changing world. 

We are truly international, present where our clients need us. Our teams around the world are highly dedicated, professional and collaborative and we draw strength from our diversity of talent. We are clear on what we stand for and our commitment to inclusivity anchors our behaviours


Job Description

An exciting opportunity has arisen to be at the heart of the fast-paced ESG Integration work of one of Europe’s largest investment managers. This critical role embeds the Environmental, Social and Governance (ESG) data into operating models to support investment decisions, risk assessments and the development of policy positions, as well as enabling reporting to clients

The ever-increasing amount of ESG data has become essential to teams across the business. It now needs to flow into monitoring, trading, order management and reporting systems to understand risks and opportunities for a broad range of ESG-tilted and non-ESG funds

This is multi-faceted role will involve working with stakeholders across the business to model, organise, cleanse, align and correlate vast complicated sets of ESG data to get insights

The vision of the team is to be trusted provider of high-quality, flexible and innovative data solutions to support LGIM’s global ESG ambitions

What you'll be doing:

  • Performing exploratory data analysis of new datasets to understand the meaning and implications
  • Analysing and explain existing datasets to our increasing internal user base
  • Working closely with internal business stakeholders and  prototype new metrics using Python to ensure correct implementation by the ESG Data Engineering team
  • Building simple, robust web apps to provide self-service data access and industry-leading analytical tools
  • Devising flexible visualisations that enable users to explore large datasets and gain data insights.
  • Creating sophisticated and user-friendly dashboards for external clients
  • Continuously improving data quality tests, monitor them and drive the resolution on data issues
  • Contributing to the standardisation of ESG metrics across the business by specifying and documenting methodologies
  • Considering the service vision and define the overall features needed in conjunction with the ESG Product Owners to deliver aligned to LGIM’s product, business and technology strategy
  • The role will need to engage with business stakeholders at various levels across the organisation to understand requirements, provide wireframes and prototypes, identify key risks and gaps, and work with the business to ensure a smooth transition into business-as-usual functions

Qualifications

Who we're looking for:

  • Very strong analytical mindset, attention to detail, and problem-solving ability to produce high-quality data solutions and products
  • Experience with analysing very large datasets, ideally using the Cloudera Data Platform
  • Well-versed in data modelling, error-handling, version control and testing
  • Database querying, load, update, and transformation using SQL
  • Substantial experience with using Python to analyse data using standard analytical libraries such as Pandas and, ideally, with building web apps using Flask
  • Experience with modern data visualisation platforms, ideally Tableau
  • Exposure to Agile processes, preferably Kanban and Scrum
  • While ESG experience isn’t critical, an interest and passion for Sustainable Investing and ESG topics would be essential for someone in this role.

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: 

  • The opportunity to participate in our annual, performance-related bonus plan and valuable share schemes  
  • Generous pension contribution  
  • Life assurance   
  • Private medical insurance (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 
  • 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

Legal & General is a leading financial services group and major global investor, named Britain’s Most Admired Company in 2023, for the second year running. Rated top in our sector and top for inspirational leadership, we have a strong heritage and an exciting future.

We aim to build a better society for the long term by investing our customers’ money in things that make life better for everyone.

If you join us, you’ll be part of a welcoming 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 strive to be open, mindful and inclusive, so are always willing to discussing flexible working arrangements and reasonable accommodations for candidates with specific needs.

If you’re open to find out more, we'd love to hear from you.

Great news! We will let you know when a new job like this has been added!

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