ESG Data Analyst/Scientist
3 weeks ago
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 accountabilitiesnPerform
exploratory data analysis
of new datasets to understand the meaning and implications.nAnalyse and explain existing datasets
to our increasing internal user base.nWork closely with internal business stakeholders and
prototype new metrics using Python
to ensure correct implementation by the ESG Data Engineering team.nBuild simple, robust web apps
to provide self-service data access and industry-leading analytical tools.nDevise flexible visualisations
that enable users to explore large datasets and gain data insights.nCreate sophisticated and user-friendly dashboards
for external clients.nContinuously improve data quality tests , monitor them, and drive the resolution on data issues.nContribute to the
standardisation of ESG metrics
across the business by specifying and documenting methodologies.nConsider 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.nEngage 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:nVery
strong analytical mindset , attention to detail, and problem-solving ability to produce high-quality data solutions and products.nExperience with
analysing very large datasets , ideally using the Cloudera Data Platform.nExperience in
asset management
with strong knowledge of asset management/accounting type data.nWell-versed in
data modelling, error-handling, version control and testing .nDatabase querying, load, update, and transformation using
SQL .nSubstantial experience with using
Python
to analyse data using standard analytical libraries such as
Pandas
and, ideally, with building web apps using
Flask .nExperience with modern
data visualisation platforms , ideally Tableau.nTrack record of
continuous learning
and innovative thinking.nExposure to
Agile
processes, preferably Kanban and Scrum.nGood
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.nWhile 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 as soon as possible 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.
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