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- Tasks: Analyse and report on ESG data to support sustainability initiatives.
- Company: Join a leading investment and wealth management firm focused on responsible investment.
- Benefits: Enjoy hybrid work options and opportunities for professional growth.
- Why this job: Make a real impact in sustainability while developing your analytical skills in a dynamic environment.
- Qualifications: Technical skills in Python, R, and data analysis; passion for ESG and responsible investment required.
- Other info: Collaborate with diverse teams and enhance your understanding of investment concepts.
The predicted salary is between 28800 - 48000 £ per year.
Our client is a leading provider of 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.
- 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.
ESG Data Analyst/ Associate employer: Bruin
Contact Detail:
Bruin Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land ESG Data Analyst/ Associate
✨Tip Number 1
Familiarise yourself with the latest ESG frameworks and reporting standards. This knowledge will not only help you understand the role better but also demonstrate your commitment to sustainability during interviews.
✨Tip Number 2
Brush up on your technical skills, especially in tools like Python, R, and Power BI. Being able to showcase your proficiency in these areas can set you apart from other candidates.
✨Tip Number 3
Network with professionals in the ESG and responsible investment space. Attend relevant webinars or industry events to make connections that could lead to valuable insights or referrals.
✨Tip Number 4
Prepare to discuss real-world examples of how ESG data has influenced investment decisions. Having concrete examples ready will show your understanding of the practical applications of ESG analysis.
We think you need these skills to ace ESG Data Analyst/ Associate
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience and skills that align with the ESG Data Analyst role. Emphasise your technical fluency in tools like Python, R, and Power BI, as well as your analytical skills and understanding of ESG frameworks.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for sustainability and responsible investment. Discuss how your background and skills make you a perfect fit for the role, and mention specific examples of your experience with data analysis and reporting.
Showcase Relevant Projects: If you've worked on projects related to ESG data analysis or similar fields, include them in your application. Describe your role, the tools you used, and the outcomes of these projects to demonstrate your capabilities.
Prepare for Technical Questions: Be ready to discuss your technical skills and experience during the interview process. Brush up on your knowledge of statistical analysis, data visualisation, and any coding languages mentioned in the job description to impress the hiring team.
How to prepare for a job interview at Bruin
✨Show Your Passion for ESG
Make sure to express your enthusiasm for sustainability and responsible investment during the interview. Share any personal experiences or projects that highlight your commitment to ESG principles, as this will resonate well with the interviewers.
✨Demonstrate Technical Skills
Be prepared to discuss your proficiency in tools like Python, R, and Power BI. Consider bringing examples of past projects where you used these tools to analyse data or create reports, as this will showcase your technical fluency.
✨Prepare for Data Analysis Questions
Expect questions that assess your analytical skills and ability to interpret ESG data. Brush up on statistical analysis techniques and be ready to explain how you would identify trends and risks within ESG datasets.
✨Communicate Clearly
Since the role involves producing reports and presentations, practice articulating complex insights in a clear and concise manner. You might even want to prepare a short presentation on a relevant ESG topic to demonstrate your communication skills.
