National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

ESG Data Analyst/ Associate

Bruin
London
2 weeks ago
Create job alert

ESG Data Analyst / Associate, Asset Management, London, Hybrid

Department: Responsible Investment


Our client is a leading provider investments and wealth management. The Responsible Investment team is seeking a highly motivated ESG Data Analyst/ Associate. This role involves collecting, analysing, and reporting on ESG data, which will support the organisation's sustainability initiatives. You will play a crucial role in delivering essential ESG data to investors and other stakeholders. Additionally, this role includes contributing to ongoing ESG integration activities, such as manager and fund research oversight.


We are seeking candidates passionate about sustainability and responsible investment, eager to use data and technology to enhance investment decisions and outcomes for customers.


Key Responsibilities

  • Support day-to-day ESG data operations, including report creation, data validation, responding to investor queries, and investigating data anomalies.
  • Develop tools and resources to support ESG analysis and oversight across portfolios, funds, and securities.
  • Drive the automation and systemisation of processes across reporting, data delivery, stewardship, and portfolio oversight.
  • Strengthen ESG data strategy by designing and implementing robust validation and monitoring frameworks.
  • Analyse ESG data to identify trends, risks, and opportunities, and assess new data sources for investment relevance.
  • Produce clear reports, dashboards, and presentations to communicate ESG insights to internal and external stakeholders.
  • Provide data-backed recommendations to inform ESG strategy and implementation.
  • Collaborate with internal teams such as Data Management, Investment Risk, and others to expand responsible investment (RI) data and reporting capabilities.


We’re looking for someone who brings:

  • Technical fluency in tools such as Python, R, PL/SQL, DAX, Power BI, Power Query, and Power Automate.
  • Strong analytical skills, with experience in statistical analysis, data visualisation, and data mining.
  • A proven ability to present complex insights clearly – including writing reports and delivering analytical papers.
  • Solid research and investigative capabilities across varied data sources.
  • A good understanding of ESG frameworks and reporting standards.
  • Familiarity with investment concepts and how ESG factors impact financial and investment decision-making.
  • Experience across the coding project lifecycle.
  • Exposure to platforms such as FactSet, RIMES, Bloomberg, Morningstar Direct, Thinkfolio, and Dasseti.
  • A sound understanding of securities, funds, and portfolio construction – with hands-on experience running fund and portfolio analytics.

Related Jobs

View all jobs

PowerBI Data Analyst

ESG Data Analyst

Data Analyst

National AI Awards 2025

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.

Machine Learning Jobs UK 2025: 50 Companies Hiring Now

Bookmark this page—we refresh the Hotlist every quarter so you always know who’s really scaling their ML teams. The UK’s National AI Strategy, a £2 billion GenAI accelerator fund and a record flow of private capital have kicked ML hiring into overdrive for 2025. Whether you build production‑grade LLM services or optimise on‑device models for edge hardware, employers need your skills now. Below you’ll find 50 organisations that advertised UK‑based machine‑learning vacancies or announced head‑count growth during the past eight weeks. They’re grouped into five quick‑scan categories so you can jump straight to the type of employer—and mission—that excites you. For each company we list: Main UK hub Example live or recent vacancy Why it’s worth a look (stack, impact, culture) Search any employer on MachineLearningJobs.co.uk to see real‑time adverts, or set a free alert so fresh openings drop straight in your inbox.

Return-to-Work Pathways: Relaunch Your Machine Learning Career with Returnships, Flexible & Hybrid Roles

Returning to work after an extended break can feel like starting from scratch—especially in a specialist field like machine learning. Whether you paused your career for parenting, caring responsibilities or another life chapter, the UK’s machine learning sector now offers a variety of return-to-work pathways. From structured returnships to flexible and hybrid roles, these programmes recognise the transferable skills and resilience you’ve developed, pairing you with mentorship, upskilling and supportive networks to ease your transition back. In this guide, you’ll discover how to: Understand the current demand for machine learning talent in the UK Leverage your organisational, communication and analytical skills in ML contexts Overcome common re-entry challenges with practical solutions Refresh your technical knowledge through targeted learning Access returnship and re-entry programmes tailored to machine learning Find roles that fit around family commitments—whether flexible, hybrid or full-time Balance your career relaunch with caring responsibilities Master applications, interviews and networking specific to ML Learn from inspiring returner success stories Get answers to common questions in our FAQ section Whether you aim to return as an ML engineer, research scientist, MLOps specialist or data scientist with an ML focus, this article will map out the steps and resources you need to reignite your machine learning career.

LinkedIn Profile Checklist for Machine Learning Jobs: 10 Tweaks to Drive Recruiter Interest

The machine learning landscape is rapidly evolving, with demand soaring for experts in modelling, algorithm tuning and data-driven insights. Recruiters hunt for candidates proficient in Python, TensorFlow, PyTorch and MLOps processes. A generic profile simply won’t cut it. Our step-by-step LinkedIn for machine learning jobs checklist covers 10 targeted tweaks to ensure your profile ranks in searches and communicates your technical impact. Whether launching your ML career or seeking leadership roles, these optimisations will sharpen your professional narrative and boost recruiter engagement.