At a Glance
- Tasks: Drive innovation in responsible investing through ESG research and data analysis.
- Company: Join a forward-thinking firm dedicated to sustainable investment.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Collaborative international team with a focus on innovative analytical techniques.
- Why this job: Make a real impact on sustainability while honing your data science skills.
- Qualifications: 1-3 years of experience in finance or data analysis with a passion for sustainability.
The predicted salary is between 55000 - 65000 £ per year.
Our client is looking to hire an ESG Quant Analyst to join their growing Sustainable Investment team. This is a unique opportunity for someone with a passion for sustainability and data science to help drive innovation in responsible investing. You'll play a key role in developing the firm's ESG research, analytical tools and proprietary datasets.
Key Responsibilities:
- Lead and support engagement with publicly listed companies across global markets, discussing ESG-related topics and monitoring progress against engagement objectives.
- Research ESG risks, opportunities and controversies affecting portfolio companies, translating findings into clear and actionable investment insights.
- Capture intelligence from company meetings and integrate qualitative observations into structured research and proprietary datasets.
- Use Python, SQL and modern AI tools to source, clean, structure and analyse large structured and unstructured datasets.
- Develop and maintain high-quality stewardship records, case studies, internal research notes and external reporting.
- Partner closely with investment teams to identify themes that can strengthen investment research and ESG analysis.
- Contribute to the development of scalable research processes, analytical models and AI-enabled tools that enhance stewardship and ESG decision-making.
- Help identify new sources of ESG data and innovative analytical techniques that improve research quality and investment outcomes.
Candidate Profile:
- 1-3 years of relevant work experience on the buy-side or sell-side with a genuine interest in sustainable investing.
- Undergraduate degree in a quantitative discipline such as finance, economics, mathematics, statistics, computer science or a related field.
- Strong programming skills, particularly in Python and SQL, with experience manipulating and analysing large datasets.
- Experience using modern generative AI tools and large language models to improve research workflows and data analysis.
- Excellent analytical and critical thinking skills with the ability to identify patterns, draw conclusions and communicate insights clearly.
- Strong written and verbal communication skills, including confidence engaging with companies and presenting findings to both technical and non-technical audiences.
- Excellent organisational skills with the ability to manage multiple priorities and work collaboratively across international teams.
ESG Quant Analyst in Slough employer: Mason Blake
Mason Blake is an excellent employer that fosters a collaborative and innovative work culture in the heart of London. Employees benefit from comprehensive professional development opportunities, a supportive team environment, and the chance to contribute to impactful marketing initiatives that resonate with investors. With a focus on quality and continuous improvement, this role offers a rewarding experience for those looking to grow their careers in marketing operations.
StudySmarter Expert Advice🤫
We think this is how you could land ESG Quant Analyst in Slough
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Mason Blake!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like ESG Quant Analyst at Mason Blake.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Mason Blake.
✨Apply Directly through Our Website
When you find a suitable opening like ESG Quant Analyst at Mason Blake, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace ESG Quant Analyst in Slough
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Mason Blake, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Mason Blake. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Mason Blake
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Mason Blake!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
