ESG Quant Analyst

Mason Blake; Slough; On-site; GBP 65,000 - 90,000; Full time

Job summary

Mason Blake is seeking an ESG Quant Analyst to join its Sustainable Investment team. The role focuses on developing ESG research, analytical tools, and proprietary datasets to support responsible investing.

You will engage with companies, analyze ESG risks and opportunities, and translate findings into actionable insights for investment teams. Candidates should have 1-3 years of relevant experience, a quantitative undergraduate degree, strong Python and SQL skills, and familiarity with AI tools

Qualifications

• Proficient in Python and SQL with ability to manipulate and analyze large datasets.
• Experience using modern generative AI tools and large language models to improve research workflows.

Responsibilities

• Lead and support engagement with publicly listed companies across global markets, discussing ESG topics and monitoring progress against objectives.
• Research ESG risks, opportunities and controversies affecting portfolio companies.
• Translate qualitative observations from meetings into structured research and proprietary datasets.
• Source, clean, structure and analyze large structured and unstructured datasets using Python, SQL and AI tools.
• Develop and maintain stewardship records, case studies and internal research notes.

Skills

Python

SQL

Generative AI

Data analysis

Analytical thinking

Communication

Education

Bachelor's degree in quantitative field

Job description

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

Mason Blake is an equal opportunities employer and welcomes applications regardless of sex, marital status, ethnic origin, sexual orientation, religious belief or age.