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For Companies 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, driving sustainability in finance.
- Benefits: Enjoy flexible work options, a dynamic team culture, and opportunities for growth.
- Why this job: Make a real impact in sustainability while collaborating with passionate professionals.
- Qualifications: 1+ year in ESG roles, strong analytical skills, and proficiency in Python required.
- Other info: Ideal for those passionate about finance and sustainability, looking to innovate.
The predicted salary is between 28800 - 48000 £ per year.
About the Company
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.
ESG Data Analyst employer: Thamesis Consulting
Contact Detail:
Thamesis Consulting Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land ESG Data Analyst
✨Tip Number 1
Familiarise yourself with the latest trends in ESG investing and sustainability. This will not only help you understand the industry better but also allow you to engage in meaningful conversations during interviews, showcasing your passion and knowledge.
✨Tip Number 2
Network with professionals in the ESG field through platforms like LinkedIn or industry events. Building connections can provide insights into the company culture and may even lead to referrals, increasing your chances of landing the job.
✨Tip Number 3
Brush up on your Python skills, especially in building complex data models. Consider working on personal projects or contributing to open-source initiatives that demonstrate your technical abilities, as this will make you stand out to potential employers.
✨Tip Number 4
Prepare to discuss specific ESG frameworks and regulations, such as SFDR, during your interview. Showing that you are well-versed in these areas will highlight your commitment to the role and your understanding of the regulatory landscape.
We think you need these skills to ace ESG Data Analyst
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, as this is crucial for the ESG Data Analyst position.
Craft a Compelling Cover Letter: In your cover letter, express your passion for sustainability and how it aligns with the company's mission. Mention specific projects or experiences that demonstrate your ability to design and enhance ESG models and lead quantitative research initiatives.
Showcase Relevant Skills: Clearly outline your proficiency in building complex data models and your advanced analytical capabilities. If you have experience with ESG rating frameworks or knowledge of ESG regulations, make sure to include these details to strengthen your application.
Proofread Your Application: Before submitting, carefully proofread your CV and cover letter for any errors. Ensure that your documents are well-organised and clearly formatted, as attention to detail is essential for this role.
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 will resonate well with the company's mission.
✨Demonstrate Technical Proficiency
Be prepared to discuss your experience with data modelling, particularly using Python. You might be asked to solve a technical problem or explain your approach to building complex models, so brush up on your skills and be ready to showcase them.
✨Prepare for Quantitative Research Questions
Since the role involves leading quantitative research initiatives, expect questions that assess your analytical thinking and problem-solving abilities. Be ready to discuss methodologies you've used in past projects and how they can apply to ESG insights.
✨Highlight Collaboration Skills
The position requires working closely with cross-functional teams, so emphasise your teamwork and communication skills. Share examples of successful collaborations and how you contributed to achieving common goals in previous roles.
