Job Description

Overview

The Junior Research Integration Specialist will support FTSE Russell's Research team by facilitating the translation of research insights into practical applications. This role is ideal for someone who combines programming expertise with interest in quantitative finance and enjoys bridging research concepts with implementation. Based in Fort Mill, SC, this position will work closely with both research and technical teams to enhance research capabilities and methodologies.

Key Responsibilities

• Support the integration of research methodologies into detailed processes and analytical frameworks
• Develop technical tools and automated workflows that improve research efficiency and capability
• Translate research concepts and factor methodologies into structured, repeatable processes
• Collaborate on research projects that require both quantitative analysis and technical implementation
• Support the development of research infrastructure including data pipelines, analytical tools, and research platforms
• Analyze research workflows and find opportunities for automation and process improvement
• Create technical documentation for research methodologies, factor calculations, and analytical processes
• Assist in the development of research tools that support factor analysis, backtesting, and performance attribution
• Facilitate knowledge transfer between research teams and support consistent application of research methodologies
• Contribute to research validation processes and quality assurance frameworks

Candidate Profile

• Python programming experience with curiosity about applying technology to research problems
• Some background or proven interest in finance, quantitative methods, or investment research
• Strong problem-solving skill and willingness to learn technical implementation concepts
• Interest in automation, data analysis, and research methodology development
• Good communication skills for collaborating across research and technical teams
• Meticulous approach with dedication to quality and continuous learning
• Bachelor's degree or equivalent experience in a technical or quantitative field (e.g., Computer Science, Engineering, Mathematics, Finance, Economics)

Preferred Attributes

• Interest in quantitative finance, factor investing, or financial market research
• Knowledge of research methodologies, statistical analysis, or quantitative investment strategies
• Interest in machine learning, AI applications, or advanced analytics in finance

Why Join Us?

• Be part of a research team developing innovative approaches to factor investing and index construction for one of the world's leading index providers
• Join a growing business with expanding opportunities in research technology and analytical innovation
• Work on research initiatives that combine innovative analytics with practical implementation
• Collaborate with senior researchers and technical specialists across global teams
• Access to continuous learning and career development in both quantitative research and technology
• Clear career progression path toward quantitative researcher roles

Compensation/Benefits Information

The anticipated base salary for this position is $102,300 - $170,500. Base salary ranges may vary by geographic location. This role is eligible for our Annual Incentive Plan (AIP/bonus plan). Individual salary will reflect job-related knowledge, skills and experience. Our benefits program includes: wellness, paid time-off, medical, dental, vision, flexible spending and health savings options, prescription drug plan, 401(k) with company match, life insurance, disability benefits, dependent care, commuter assistance, and related programs. LSEG is committed to offering competitive compensation and benefits.

London Stock Exchange Group (LSEG) is a leading global financial markets infrastructure and data provider. Our purpose is driving financial stability, empowering economies and enabling customers to create sustainable growth. We value integrity, partnership, excellence and change, and we foster a diverse, collaborative culture with a focus on sustainability and inclusion. We are an equal opportunities employer and do not discriminate on the basis of protected characteristics. We comply with applicable laws and accommodate applicants' religious practices, beliefs, and needs related to mental health or disability where feasible.

Equality and Privacy

Please review the privacy notice carefully to understand how we may use your personal information in the recruitment process. If you are submitting as a Recruitment Agency Partner, ensure candidates are informed of this privacy notice.

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