Senior Quantitative Analyst - AI-Driven Investment Analytics

Baillie Gifford Group; City of Edinburgh; Hybrid; GBP 90,000 - 150,000; Full time

Job summary

Baillie Gifford Group is seeking a Senior Quantitative Analyst in Investment Analytics to deliver bespoke analytics for investment teams and to scale AI-enabled insights across the firm. You will build and maintain datasets, apply advanced statistics, and drive decision-support through quantitative methods and AI-driven tools.

Ideal candidates bring Python/SQL fluency, experience with large financial datasets, and a track record in investment analytics or quantitative research, with strong

Qualifications

• Strong statistics and quantitative judgement with robust methodology.
• Experience with Python and SQL in finance and investment analytics.
• Exposure to AI/LLM workflows and data-driven decision support.

Responsibilities

• Produce bespoke analytics and insights for investment teams to enhance decision-making.
• Develop and curate datasets from internal and external sources.
• Scale and enhance the Investment Intelligence platform for cross-team access.
• Embed AI tools and agentic workflows into investment processes.
• Collaborate with data, technology, risk, trading and operations teams.

Skills

Python

SQL

Statistics

AI coding tools

Large Language Models

Data visualization

Financial data handling

Education

Bachelor's degree in a quantitative field

CFA / CQF advantageous

Tools

OpenAI Agents SDK

Claude Code

GitHub Copilot

Pandas/NumPy

Job description

Baillie Gifford Group is seeking a Senior Quantitative Analyst in Investment Analytics to deliver bespoke analytics for investment teams and to scale AI-enabled insights across the firm. You will build and maintain datasets, apply advanced statistics, and drive decision-support through quantitative methods and AI-driven tools.

Ideal candidates bring Python/SQL fluency, experience with large financial datasets, and a track record in investment analytics or quantitative research, with strong