Research Operations Associate

Overview

Our Research Operations team supports the foundation of the research process — ensuring accuracy, consistency, and efficiency across all recurring deliverables. As a Research Operations Associate, you will help maintain the smooth functioning of daily, weekly, and monthly tasks that enable analysts and traders to focus on generating insights and making informed decisions.

This role sits at the intersection of data management, process improvement, and operational oversight. You’ll work closely with researchers, traders, and technologists to enhance the precision and reliability of research workflows while driving the adoption of new tools and automation.

What You’ll Do

• Ensure Continuity: Oversee recurring operational cycles, maintaining high standards of timeliness, accuracy, and completeness across research deliverables.
• Manage Processes: Coordinate the creation and upkeep of financial and event calendars, and ensure seamless flow of information across teams.
• Drive Improvement: Identify and implement process enhancements that reduce manual effort and improve consistency.
• Maintain Data Quality: Monitor key datasets, ensuring that information is correct, current, and aligned with external sources.
• Support Technology Integration: Collaborate with developers and analysts to adopt new systems and automation tools, including AI-based solutions, to streamline workflows.
• Communicate and Coordinate: Serve as a link between research, trading, and support functions to ensure alignment and transparency on timing, data, and priorities.

What We’re Looking For

• Organised and Reliable: You manage multiple time-sensitive tasks with precision and discipline.
• Analytical and Curious: You use data and logic to identify issues, test improvements, and enhance reliability.
• Process-Oriented: You naturally seek ways to make recurring tasks more efficient and scalable.
• Collaborative: You work well across teams and communicate clearly, adapting to both technical and non-technical audiences.
• Tech-Forward: You are open to experimenting with AI and automation tools to improve operational quality and speed.

What You’ll Bring

• 1–3 years' of experience in a research, operations, or data-driven support role (finance, analytics, or related field).
• Strong Excel skills and comfort working with structured data.
• Familiarity with SQL, Access, or Python preferred.
• Experience using or implementing AI or automation tools to improve workflow efficiency is a plus.
• Excellent attention to detail and communication skills.
• Genuine interest in financial markets and the operational infrastructure behind research and trading.