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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.
- Other info: Collaborate with diverse teams and contribute to innovative ESG strategies.
- Why this job: Make a real impact in sustainability while enhancing investment decisions with data.
- Qualifications: Technical skills in Python, R, and data analysis; passion for ESG required.
The predicted salary is between 36000 - 60000 £ 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.
Contact Detail:
Career Wallet 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
Showcase your technical skills by working on personal projects or contributing to open-source initiatives that involve data analysis and visualisation. This practical experience can set you apart from other candidates.
✨Tip Number 3
Network with professionals in the ESG and investment sectors. Attend relevant webinars, workshops, or industry events to make connections and learn about potential job openings before they are advertised.
✨Tip Number 4
Prepare to discuss how ESG factors influence financial decision-making. Being able to articulate this connection clearly will show your understanding of the role's impact on investment strategies.
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 have experience with investment concepts, include these in your application. Highlight any tools or methodologies you used and the outcomes of your work.
Proofread Your Application: Before submitting, carefully proofread your CV and cover letter for any errors or inconsistencies. A polished application reflects your attention to detail, which is crucial for an analyst role.
How to prepare for a job interview at Career Wallet
✨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 demonstrate your commitment to ESG principles, as this will resonate well with the hiring team.
✨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 and problem-solving abilities.
✨Prepare for Data Analysis Questions
Expect questions that assess your analytical skills and understanding of ESG data. Brush up on statistical analysis and be ready to explain how you would identify trends and risks within ESG datasets, as well as how you would present your findings.
✨Understand ESG Frameworks
Familiarise yourself with various ESG frameworks and reporting standards before the interview. Being able to discuss how these frameworks impact investment decisions will demonstrate your knowledge and readiness for the role.