Senior Analyst, Methodology Architecture & Construction

About the role

As part of the Methodology Construction (Portfolio & Funds) team, the Senior Analyst will lead analysis and prototype development within the technical and methodological development of calculated portfolio and fund methodology across ESG products. This role supports the methodological design, technical implementation, and testing of portfolio and fund methodologies through a mix of large-scale analysis, requirements gathering, and specification construction. This role will focus on translating business and methodology requirements into clear technical specifications, owning analysis and prototyping of calculated ESG methodology, and assisting multifunctional teams, including Methodology, Product, and Technology in the implementation and testing process. A key part of this role will involve researching data logic, prototyping calculations, and supporting methodology testing. The role will closely collaborate with other ESG Portfolio & Fund Methodology team members, while also collaborating across a wide group of both business and technical stakeholders. The position is suited to someone who embraces a continuous learning mindset, and enjoys working at the intersection of data, methodology, and technical systems in a collaborative environment. Job Responsibilities Communicate with internal stakeholders, including research teams, client success teams, and product groups, to understand and clarify methodological and business requirements Translate requirements into actionable specifications through detailed analysis, including calculation prototyping, impact analysis, and data mapping across internal data sources Confidently communicate clear technical and methodological specifications to various stakeholders and leadership Assist in building and maintaining methodology-related data logic and calculation frameworks, using analysis to inform decisions Collaborating with project managers, developers, QA analysts, and technical leads to support calculated data delivery, including test support, data validation, and calculation verification Support existing methodological processes and product features by helping investigate issues, identifying root causes, and proposing improvements Contribute to the creation of internal documentation to strengthen organizational knowledge around methodology and data logic