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Data Analyst

Cclfg
Contract type
Ongoing
Work mode
Hybrid · London, United Kingdom
Experience
3 years

Job description

A Data Analyst role on an investment team, building an AI-enabled research and decision-support platform alongside portfolio managers, analysts and engineering teams.

At a glance

Employment
Full-time · Employee (employment agreement)
Work mode
Hybrid · London, United Kingdom
Languages
English
Pay
GBP 55,000 – 70,000 / year

What you'll do

  • Develop and execute investment data strategies to improve accessibility, quality and usability of research and portfolio information.
  • Build and maintain data pipelines, databases and data models integrating multiple platforms including Microsoft Fabric and SharePoint.
  • Use Python, SQL and modern data engineering tools to automate data processing, analytics and workflow optimization.
  • Collaborate with data, technology and AI engineering teams to integrate portfolio, trading, performance and research data sources.
  • Design AI-powered solutions enabling intelligent access to investment research, meeting notes and decision-making history.
  • Experiment with and implement emerging AI technologies such as LLMs, RAG, semantic search, document processing and AI agents.
  • Develop practical applications, dashboards and user-friendly tools for investment professionals.
  • Rapidly prototype, test and refine solutions based on user feedback, then transition them into production-ready applications.
  • Partner with portfolio managers and analysts to identify data and AI-driven improvements and translate business needs into technical solutions.

What we're looking for

  • Demonstrated builder mindset focused on rapidly developing, testing and iterating practical solutions.
  • Strong programming skills in Python and SQL with experience in application development, automation or data-focused projects.
  • Passion for AI technologies including LLMs, AI agents and AI-powered application development.
  • Excellent problem-solving abilities and willingness to learn new technologies.
  • Self-motivated and able to take ownership of projects while working independently with minimal supervision.
  • Experience with Microsoft data and analytics platforms such as Microsoft Fabric, Azure and Power BI.
  • Knowledge of SharePoint, Microsoft Graph, Microsoft 365 integrations and enterprise data ecosystems.
  • Understanding of data engineering concepts including ETL pipelines, database design, APIs, cloud services and application development.
  • Familiarity with modern AI development tools such as LLM APIs, RAG architectures, vector databases and agent frameworks.
  • Experience with software development best practices including Git, testing, AI coding assistants and collaboration.

Your team

Investment team

Works alongside portfolio managers, analysts and engineering teams on research and decision-support technology.

Benefits

Competitive total compensation, retirement savings support, wellness credits, enhanced parental leave and comprehensive health benefits.

  • Social events, volunteering and a strong commitment to corporate social responsibility.
  • Flexible work practices supporting work-life balance and flexibility in where and how employees work.
  • Continuous learning budgets, paid study days and support for professional designations.

How to get hired

  1. 1AI may be used to support certain stages of the screening and recruitment process.

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About Connor, Clark & Lunn Financial Group

Invested in our greatest asset, you.

What they value

  • Belonging through collaboration, inclusion and flexibility.
  • Commitment to corporate social responsibility.
  • Prioritizing employee development.