At a Glance
- Tasks: Join us as an ESG Data Analyst, enhancing models and leading research on sustainability.
- Company: We're a top provider of ESG data solutions, partnering with major financial institutions.
- Benefits: Enjoy a full-time role with competitive salary and opportunities for growth in a dynamic environment.
- Other info: This entry-level position offers a chance to work within a global WealthTech group.
- Why this job: Make a real impact in sustainability while collaborating with a passionate team in a fast-paced setting.
- Qualifications: Ideal candidates have 1+ years in ESG roles, strong analytical skills, and proficiency in Python.
The predicted salary is between 24000 - 40000 £ per year.
Our client is a leading provider of ESG and sustainability data solutions, partnering with top-tier Asset Managers, Wealth Managers, Investment Banks, and Asset Owners. With rapid growth over the past 24 months and ambitious targets ahead, the company offers a comprehensive service platform including ESG ratings, SDG impact analysis, regulatory data solutions, and sustainable investment strategies. The company is part of a major global WealthTech group and is regulated by the FCA.
Position Overview
They are seeking a highly motivated ESG Data Analyst to join their growing team. The successful candidate will play a key role in designing and enhancing their proprietary ESG models and leading quantitative research initiatives. This role is ideal for someone with a strong interest in sustainability and a background in finance, statistics, or engineering.
Key Responsibilities
·Design and enhance advanced ESG models assessing corporates, countries, and municipalities.
·Lead quantitative research to develop new ESG insights and inform product innovation.
·Support ESG data sourcing, cleaning, mapping, and visualisation.
·Maintain quality assurance for ESG model inputs and outputs.
·Document existing and new in-house processes for transparency and consistency.
·Identify ESG trends to support model updates and KPI development.
·Contribute to research publications and insights.
·Collaborate on cross-functional projects within the ESG team.
Required Skills & Qualifications
·Minimum 1 year of experience in ESG or sustainability-related roles.
·Strong knowledge of ESG investing and issuer-level/portfolio-level ESG data.
·Proficiency in building complex data models, preferably using Python.
·Advanced analytical and statistical capabilities.
·Highly organised with strong attention to detail.
·Strong communication, presentation, and interpersonal skills.
·Ability to work effectively in a fast-paced and collaborative environment.
·Preferred Skills
·Master’s degree in Sustainability, Finance, Management, or Engineering.
·Familiarity with ESG rating frameworks for corporates and sovereign issuers.
·Knowledge of ESG data vendors and ESG regulations (e.g., SFDR).
·Advanced skills in Microsoft Excel and Python.
Seniority level
-
Seniority level
Entry level
Employment type
-
Employment type
Full-time
Job function
-
Job function
Information Technology
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Industries
Business Consulting and Services
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ESG Data Analyst in London employer: Thamesis Consulting
As a long-established international bank with a strong European platform, we offer an exceptional work environment in London that fosters professional growth and development. Our collaborative culture encourages innovation and excellence, providing employees with the opportunity to lead and shape the Treasury strategy while working alongside a talented team of specialists. With a commitment to regulatory compliance and risk management, we empower our staff to thrive in their roles and make meaningful contributions to the bank's success.
StudySmarter Expert Advice🤫
We think this is how you could land ESG Data Analyst in London
✨Tip Number 1
Familiarise yourself with the latest trends in ESG investing and sustainability. This knowledge will not only help you during interviews but also demonstrate your genuine interest in the field, making you a more attractive candidate.
✨Tip Number 2
Network with professionals in the ESG space through LinkedIn or industry events. Building connections can provide valuable insights into the role and may even lead to referrals, increasing your chances of landing an interview.
✨Tip Number 3
Brush up on your Python skills, especially in building data models. Consider working on personal projects or contributing to open-source initiatives that showcase your ability to handle complex data, as this is a key requirement for the role.
✨Tip Number 4
Prepare to discuss specific ESG frameworks and regulations, such as SFDR, during your conversations. Being well-versed in these topics will show that you are proactive and ready to contribute to the company's goals from day one.
We think you need these skills to ace ESG Data Analyst in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights relevant experience in ESG or sustainability-related roles. Emphasise your analytical skills and any experience with data modelling, particularly using Python.
Craft a Strong Cover Letter:Write a cover letter that showcases your passion for sustainability and your understanding of ESG investing. Mention specific projects or experiences that demonstrate your ability to contribute to the company's goals.
Highlight Technical Skills:Clearly outline your proficiency in tools and languages relevant to the role, such as Python and Microsoft Excel. Provide examples of how you've used these skills in previous roles or projects.
Showcase Communication Skills:Since strong communication is key for this role, include examples of how you've effectively communicated complex data insights in past positions. This could be through presentations, reports, or collaborative projects.
How to prepare for a job interview at Thamesis Consulting
✨Show Your Passion for ESG
Make sure to express your genuine interest in environmental, social, and governance issues. Discuss any relevant projects or experiences that highlight your commitment to sustainability, as this role is all about enhancing ESG models.
✨Demonstrate Your Analytical Skills
Prepare to showcase your analytical capabilities, especially with data modelling and statistical analysis. Be ready to discuss specific tools you've used, like Python or Excel, and how you've applied them in previous roles or projects.
✨Understand the Company’s Frameworks
Familiarise yourself with the ESG rating frameworks and regulations mentioned in the job description. Being able to discuss these frameworks will show that you are well-prepared and understand the landscape of ESG investing.
✨Prepare for Collaborative Scenarios
Since the role involves cross-functional collaboration, think of examples where you've successfully worked in a team. Highlight your communication skills and how you can contribute to a collaborative environment, which is crucial for this position.
