Legal & General Investment Management are currently looking for an ESG Data Analyst/Scientist to play a crucial role in embedding ESG data into operating models to support investment decisions, risk assessments, and the development of policy positions, as well as enabling reporting to clients.

For the right candidate, we can offer £480 p/d inside of IR35 (plus 17.3% Umbrella uplift) to join L&G on a 26-week contract, with the potential for extension subject to performance and business requirements. Based out of the LGIM office in London (One Coleman Street), you will work on a hybrid basis, attending the office twice per week.

ALL APPLICANTS MUST BE BASED IN MAINLAND UK WITH A VALID RIGHT TO WORK IN THE UK.

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 and will involve you 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.

Principal accountabilities

1. Perform exploratory data analysis of new datasets to understand the meaning and implications.
2. Analyse and explain existing datasets to our increasing internal user base.
3. Work closely with internal business stakeholders and prototype new metrics using Python to ensure correct implementation by the ESG Data Engineering team.
4. Build simple, robust web apps to provide self-service data access and industry-leading analytical tools.
5. Devise flexible visualisations that enable users to explore large datasets and gain data insights.
6. Create sophisticated and user-friendly dashboards for external clients.
7. Continuously improve data quality tests, monitor them, and drive the resolution on data issues.
8. Contribute to the standardisation of ESG metrics across the business by specifying and documenting methodologies.
9. Consider 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.
10. 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.

Our ideal candidate will be able to demonstrate the following qualifications, knowledge, and skills:

• 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.
• Experience in asset management with strong knowledge of asset management/accounting type data.
• Well-versed in Datamodelling, 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.
• Track record of continuous learning and innovative thinking.
• Exposure to Agile processes, preferably Kanban and Scrum.
• Good stakeholder management skills, able to understand the internal customer needs and the wider industry direction, engage with business stakeholders across the organisation to understand requirements and data, pro-actively communicate with various teams of different technical backgrounds.
• While ESG experience isn't critical, an interest and passion for Sustainable Investing and ESG topics would be essential for someone in this role.

If you are the ESG Data Analyst/Scientist we are looking for, then do not delay in applying as we are looking for you to join LGIM ASAP!

We endeavour to contact successful candidates ASAP and appreciate the time that all candidates take to apply for our roles. However, due to the number of applications we receive, we are not able to provide feedback to candidates who are not invited to interview.