Manager, Quant Researcher/Developer

Overview

In this role, you drive the development of quantitative research, analytics and automation platforms for equity and multi-asset indexing. You work across research, engineering, product and client teams to deliver scalable solutions and AI-enabled workflows that improve research efficiency and client support. You’ll own end-to-end research and product development, from idea to deployment and delivery. The role combines research, software development and operations in a dynamic, fast-changing environment with a clear impact on investment analytics and index methodology.

Pay / Benefits

• healthcare
• retirement planning
• paid volunteering days
• wellbeing initiatives
• diversity and inclusion
• charitable foundations participation

Responsibilities

• Develop and maintain quantitative research, analytics and automation platforms
• Build AI-enabled workflows, tools and agents to improve research, operational efficiency and client support
• Support quantitative research initiatives and index methodology development across equity and multi-asset strategies
• Investigate and resolve complex data, analytics and operational issues with high accuracy
• Improve research infrastructure, development processes, CI/CD practices and cloud-based solutions
• Collaborate with Research, Engineering, Technology, Product, Data Operations and Sales to achieve objectives
• Provide analytical support and respond to internal and external inquiries on data, methodologies and product capabilities
• Contribute across the full lifecycle of research and product development from ideation to client-facing delivery

Key requirements

• ≈10 years of experience in quantitative research, quantitative development, investment analytics or related fields
• Strong Python and SQL skills
• Experience with CI/CD, cloud computing, AI-assisted development tools (e.g. GitHub Copilot, VS Code) and modern software engineering practices
• Solid understanding of equity markets and quantitative investment techniques (regression analysis, optimization, factor investing, risk modelling)
• Experience with financial databases and platforms such as Worldscope, IBES, Lipper, Datastream and Refinitiv Workspace is highly desirable
• Agile, self-starter who can manage multiple priorities and communicate with both technical and non-technical stakeholders
• Ability to work effectively in cross-functional teams and adapt to changing requirements

• strong communication
• multitasking and prioritization
• curiosity and adaptability
• Python
• SQL
• CI/CD

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