AI-Driven Data Analyst for Investment Insights

Connor, Clark & Lunn Financial Group (CC&L); Greater London; Hybrid; GBP 55,000 - 70,000; Full time

Job summary

Connor, Clark & Lunn Financial Group (CC&L) is seeking a Data Analyst to help build a next‑generation AI‑enabled research and decision‑support platform. You will work with portfolio managers, analysts, and engineers to create data‑driven solutions that connect research, investment, and portfolio data.

You will develop data strategies, construct pipelines, and apply Python, SQL, and AI tools to automate processing, analytics, and workflow optimization.

Qualifications

• Strong programming skills in Python and SQL.
• Passion for AI technologies including LLMs and AI agents.
• Experience with data-focused projects and automation.
• Familiarity with Microsoft data/analytics platforms (Fabric, Azure, Power BI).
• Understanding of ETL, APIs, databases, and cloud services.

Responsibilities

• Develop and execute investment data strategies to improve data accessibility and quality.
• Build and maintain data pipelines, databases, and models integrating multiple platforms.
• Use Python, SQL and modern tools to automate data processing and analytics.
• Collaborate with data, technology, and AI engineering teams to integrate data sources.
• Design AI-powered solutions for intelligent access to research, notes, and decision history.
• Prototype, test, and refine solutions; transition successful concepts to production.
• Partner with portfolio managers to identify data/AI-driven improvements and translate needs into technical solutions.

Skills

Python

SQL

AI/ML concepts

Data pipelines

Power BI

Tools

Microsoft Fabric

SharePoint

Microsoft Graph

Microsoft 365

Azure

Job description

Connor, Clark & Lunn Financial Group (CC&L) is seeking a Data Analyst to help build a next‑generation AI‑enabled research and decision‑support platform. You will work with portfolio managers, analysts, and engineers to create data‑driven solutions that connect research, investment, and portfolio data.

You will develop data strategies, construct pipelines, and apply Python, SQL, and AI tools to automate processing, analytics, and workflow optimization.