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The firm 

Our client is a leading European asset manager with a long-standing commitment to active, conviction-led investment and to embedding environmental, social and governance considerations across its investment process. As a UNPRI signatory, the firm pairs rigorous fundamental and macro analysis with a clear mandate to create value for clients and positive outcomes for society and the environment. Stewardship, transparency and active engagement with investee companies sit at the heart of how the firm operates. 

The role 

The Sustainable Investment Quantitative Analyst is an integral member of the fund management team and will elevate the effectiveness of the investment team by delivering insightful, actionable and differentiated analysis to improve risk-adjusted returns, investment impact, stewardship and reporting quality. 

This is a hands-on role for a quantitatively-minded ESG specialist who wants to build a cutting-edge approach to applying ESG data and methodologies within an active fundamental and macro framework. The successful candidate will lead on ESG data architecture, ESG data-driven investment research and ESG data disclosures, working transversally with the equity, credit, risk, technology and commercial teams. 

Key responsibilities 

Databases and dashboards 

• Own and advise on ESG databases and sources, acting as subject matter expert on methodology, implementation, accuracy and completeness across key data providers, including FactSet, ISS ESG and MSCI. 
• Contribute to the development of tools and dashboards used for ESG analysis, investment monitoring and reporting. 

ESG quantitative research 

• Support the maintenance and development of ESG data frameworks and scoring methodologies across corporate, sovereign and impact dimensions, ensuring robustness, accuracy and completeness. 
• Act as climate and biodiversity data specialist, producing metrics for reporting purposes and assessing their relevance for investment analysis and engagement. 
• Conduct empirical research on the materiality and investment relevance of ESG factors across asset classes, sectors and regions. 
• Analyse large structured and unstructured datasets from internal and external providers to generate actionable insights for ESG due diligence, investment decisions and engagement priorities. 
• Support the design and ongoing enhancement of portfolio ESG analysis and monitoring frameworks. 

ESG disclosures and controls 

• Deliver ad hoc and recurring data requests accurately and on time, contributing to the automation, control and scalability of reporting processes. 
• Support ESG data quality control procedures. 

Broader ESG research 

• Complement core data and quantitative responsibilities by supporting wider ESG analysis and research alongside the ESG analyst team. 

What we are looking for 

• At least four years’ experience in quantitative research and ESG, ideally within asset management (buy or sell-side). 
• Degree-level qualification (or equivalent) in Mathematics, Finance, Data Science or a related field. 
• Genuine interest in sustainable investment, with strong technical knowledge of ESG data definitions and frameworks including TCFD, TNFD, PCAF, GHG Protocol, SFDR, EU Taxonomy and ESG ratings. 
• Highly proficient in Python and SQL for data manipulation, analysis, automation and research. Knowledge of R or other statistical programming languages is advantageous. 
• Familiarity with dashboard tools such as Power BI or Tableau is a plus. 
• Advanced Microsoft Excel skills and the ability to apply statistical and quantitative research methods. 
• Familiarity with natural and social capital valuation methodologies, or broader impact measurement approaches, would be beneficial. 
• Advanced data visualisation skills alongside strong written and verbal communication. 
• A commitment to data accuracy, quality and controls. 
• Ability to work independently while building strong relationships across the business. 
• Strong internal client-service mindset, responding to investment, risk, reporting and commercial requests in a timely, accurate and practical manner. 

Contact information

Liza Manvelian