Senior Research Analyst

Russell Investments; Greater London; Hybrid; GBP 70,000 - 110,000; Full time

Job summary

Russell Investments is seeking a Senior Research Analyst to advance sustainability data analytics within our Systematic Equity team in London. You will combine quantitative methods with climate-related insights to inform investment research and client solutions, spanning equities, fixed income, and alternatives.

The role requires deep expertise in quantitative investing and sustainability data, with proficiency in Python/SQL and a willingness to explore AI-enabled workflows to improve analytics

Qualifications

• Significant experience in quantitative investing.
• Strong knowledge of sustainability concepts and data sets.
• Programming in Python and SQL; CFA or equivalent is a plus.

Responsibilities

• Lead sustainability data analytics and vendor evaluation.
• Assess climate factors' impact on portfolios.
• Translate insights into client narratives and communications.
• Identify AI and automation opportunities to enhance research workflows.

Skills

Quantitative investing

Sustainability analytics

Data-driven decision making

Python

SQL

AI workflows

NLP

Education

Advanced degree in quantitative field or environmental science

Undergraduate degree + experience or certifications

CFA or equivalent (nice to have)

Tools

Python

SQL

AI workflows

NLP

Job description

## Senior Research AnalystApplylocations: Londontime type: Full timeposted on: Posted Todayjob requisition id: R-04081# Job Description:**Role Summary**Every day, we seek to improve financial security for people. Joining our Research team means you will be a part of a passionate and supportive team that believes what we do matters to our clients and investors. We seek a candidate with a track record of sustainable investing and deep fluency with data and quantitative methods. This role requires an individual who can combine quantitative rigor, sustainability domain expertise, and modern data/AI fluency to evolve how sustainability insights are integrated into investment research, portfolio construction, client solutions, and firmwide analytics workflows. While the role sits in the Systematic Equity (SE) Team, projects will span equities, fixed income and alternative assets in collaboration with subject matter experts on our investment teams around the world.**The responsibilities of the individual in this position include:*** Serving as a strategic lead for sustainability-related data and analytics, including vendor evaluation, data architecture considerations, governance, integration into investment workflows and scalability across teams and asset classes.* Empirically assessing impact of climate-related factors on investment portfolios.* Developing new and effective methods for communicating these assessments to our clients.* Evolving our process to systematically manage emerging factors. This includes the management of frameworks to support clients’ Net Zero alignment objectives.* Leading firmwide effort to streamline management of client exclusions lists – this will involve working with various stakeholders throughout the firm and understanding of desired data architecture and analytics.* Translating complex quantitative and sustainability-related insights into clear, actionable narratives for both technical and non-technical stakeholders, including clients.* Identifying and evaluating opportunities to leverage AI, advanced analytics and automation to enhance sustainability research workflows, data management, investment insights and client reporting capabilities.`* Active role in the Systematic Equity Team workflow with a specific emphasis on data, analytics and the intersection of sustainability information, portfolio construction and traditional alpha ideas.**The successful candidate will have extensive demonstrable skills and experiences including the following:*** Significant experience in quantitative investing.* Strong subject matter knowledge of sustainability investment concepts and data sets.* Advanced degree in a quantitative field or environmental science preferred (e.g. finance, economics, statistics, environment science, or other quantitative discipline).* Undergraduate degree (or equivalent) plus work experience or certifications also considered.* Certifications such as CFA or equivalent a plus.* Prior work experience in one or more of the following a plus: quantitative asset management, financial modelling, programming (Python, SQL), AI (AI workflow, NLP)* Intellectual curiosity and demonstrated ability to rapidly learn and apply emerging technologies, data sources, and analytical approaches.* Product and innovation mindset with comfort iterating on new ideas, workflows, and research frameworks in ambiguous environments.* Ability to influence cross-functional stakeholders and drive alignment across investment, technology, research, and client teams.* Strong judgment in balancing methodological rigor, scalability, and practical business application.