The Responsible Investment Manager (Quant) is responsible for developing and enhancing environmental, social, and governance (‘ESG’) data with a view to incorporating these factors into the investment decision-making process. This role requires a strong background in quantitative analysis, data modelling, programming skills, combined with a deep understanding of responsible investment principles and practices.

The role holder will play a key role in more efficiently integrating non-financial information into the investment decision making process as well as generating appropriate management information for internal and external stakeholder consumption.

• Develop and implement responsible investment frameworks: Design and execute responsible investment frameworks to support with integration of ESG factors into investment decision-making processes, asset allocation, and risk management frameworks.
• Quantitative modelling and analysis: Apply quantitative techniques to analyse sustainability data (alongside other financial data), develop ESG focused investment models, and support with conducting scenario analysis. Utilise statistical methods, machine learning, and other quantitative tools to identify patterns, correlations, and risks.
• Model documentation: Develop and maintain relevant documentation associated with internal models and work closely with the Investment Actuarial Team to maintain alignment with internal policies and procedures.
• Research and data analysis: Stay updated on the latest industry trends, ESG research, and data sources. Conduct rigorous analysis of ESG data, company reports, and other relevant information to identify material ESG factors and assess their impact on investment performance.
• Climate change: Have a strong understanding of climate change-related metrics and the ability to develop the tools to support internal climate-related scenario analysis and portfolio footprinting. Identify new techniques and approaches to integrate climate-related data into investment processes.
• Portfolio optimisation: Work closely with the Public Credit Team to support with optimising the investment portfolio by developing and sharing relevant tools/information on ESG factors on a line by line basis.
• Risk assessment and mitigation: Identify and assess ESG-related investment risks, including climate change, social controversies, and governance issues. Develop a process to support with risk identification/mitigation and work with the wider investment team to incorporate into investment decision-making processes.
• Reporting and communication: Prepare reports and presentations on responsible investment metrics (risks and impacts). Effectively communicate complex quantitative concepts and analysis to internal stakeholders, clients, and external partners.
• Collaboration and engagement: Collaborate with investment teams, ESG analysts, and other stakeholders to integrate responsible investment practices. Engage with industry peers, and external organisations to remain aware of and improve the market standards relating to ESG data and reporting.
• Compliance and regulation: Ensure compliance with relevant regulations, reporting standards, and industry guidelines related to responsible investment. Stay updated on evolving regulatory requirements and industry best practices.
• Continuous improvement: Enhance quantitative models, analysis methodologies, and responsible investment frameworks based on feedback, research, and industry developments.
• Stakeholder relationship management: Build and maintain relationships with clients, investors, and industry partners. Act as a key point of contact on responsible investment matters, specifically relating to data/modelling, providing insights and guidance on ways to better integrate ESG data into investments.
• People management: Support junior members of the Responsible Investment Team by sharing knowledge and coaching them on day-to-day priorities.

• Develop a framework for ESG ratings of investments covering a wide range of asset classes e.g. sovereigns and other public/private credit assets and relevant documentation.
• Identify portfolio-related ESG key performance indicators to support risk and impact monitoring for the investment portfolio.
• Develop tools and dashboards to support with integration of ESG data into the investment decision making process and to allow the wider investment team to efficiently analyse ESG risks/impacts across the portfolio.
• Maintain and enhance existing tools and dashboards (e.g. Transitionator, Climate Scenario Model, Responsible Investment Tracker) and ensure these are aligned with internal policies/procedures by working closely together with the Investment Actuarial Team.
• Oversee and support the wider Responsible Investment Team in achieving strategic objectives, sharing knowledge and being a general day-to-day contact on key projects/workflow.
• Provide guidance and input into the overall investment decision making process, in particular focusing on investment due diligence alongside the Credit Research Team and wider portfolio analysis alongside the Strategy Team.
• Work towards moving all existing spreadsheet-based models towards python.

Skills and Knowledge

• Strong knowledge of responsible investment principles, sustainability frameworks (e.g., UN PRI), and ESG factors.
• Excellent analytical skills with a demonstrated ability to interpret complex financial and ESG data.
• Strong understanding of investment theories, asset allocation strategies, and risk management concepts.
• Excellent communication and presentation skills, with the ability to convey quantitative analysis and findings to both technical and non-technical stakeholders.
• Ability to work independently and manage multiple projects simultaneously in a fast-paced environment.
• Passion for responsible investment, sustainability, and the integration of ESG factors into investment decision-making processes.

Experience

• Demonstrable experience in quantitative modelling and analysis, with a specific focus on responsible investment.
• Experience in investments.
• Proficiency in quantitative analysis tools, programming languages (such as R, Python), and statistical techniques.
• Familiarity with financial and sustainability databases, data providers, ESG rating methodologies and climate metrics.
• People management experience preferred.