Job Title
Senior Quantitative Analyst
Department
Investment - Equities-Emerging Markets-UK
Overview of Department
The integration of large datasets, advanced analytics, and artificial intelligence creates an opportunity for unique insight generation to improve decision-making throughout the investment lifecycle. Investment Analytics reports into the Equity Leadership Group with a focus on working closely with investment teams across the firm to enhance portfolio actions in real time through bespoke, evidence-based engagement. We are driven by two clear missions: to improve client investment outcomes and to contribute towards the firm’s goal of becoming the best global active equity manager. We prioritise a collaborative culture of aligned autonomy with a relentless focus on the pursuit of excellence and continuous learning.
Purpose of Role
As a Senior Quantitative Analyst, you will produce bespoke analytics for investment teams which make a material contribution to their decision-making. You will be heavily involved in expanding our analytical capabilities through the integration of AI/ML methods and LLM agents/tools.
Responsibilities
1. Producing bespoke quantitative analytics for investors. Quantitative analytics will be relevant to the respective investment team, their process and philosophy, and make a material contribution to investment decisions.
2. Idea generation for analytical content as well as taking suggestions and requests from investment teams.
3. Integrate artificial intelligence to enhance analytical content and engagement.
4. Cohesive and engaging communication of analytics and research through written reports and dialogue with investment teams. Focussing on actionable conclusions for investors with a clear and detailed outline of analytical methods included for reference where appropriate.
5. Developing strong working relationships with investment teams and a deep understanding of their client-base, strategy, and universe.
6. Collaboration with colleagues from risk, trading, and other operational functions to ensure efficient workflows and appropriate segregation of roles and responsibilities.
7. Maintaining an industry-leading knowledge of, and capability with, external vendor data and services across the relevant areas for investment analytics, including, but not limited to, behavioural analytics, factor models, and company-fundamental data.
8. An openness to personal growth and continuous learning will be required as well as supporting the development of colleagues within the investment analytics team.
9. Investment analytics will be investment-focused; however, some assistance with the client and marketing departments, where appropriate, will be required as part of the integration of analytical content for external materials.
Qualifications
10. Full IMC qualification or be willing to undertake this if successfully offered the role.
11. Other investment qualifications, such as Certificate in Quantitative Finance or CFA (preferred)
Your Knowledge and Experience
12. Strong quantitative skills, investment knowledge, and data visualisation abilities will be required to successfully develop tools that provide insights for investors and add value to investment processes.
13. Attention to detail and accuracy are essential.
14. Experience working with programming languages such as Python and SQL.
15. Strong stakeholder management with multiple areas of the firm such as Innovation, Investment Risk, and our Client Department.
The type of candidate
The ideal candidate will have experience in investment management, equity research, or similar fields, with a preference for direct investment experience. We also welcome candidates from research, analysis, and data science backgrounds. Essential skills include advanced technical proficiency, experience with large financial datasets (e.g., index data, factor models, company financial metrics), and programming languages such as Python and SQL. Practical experience with AI/ML tools and cloud data platforms is advantageous. Candidates should demonstrate advanced data literacy, the ability to communicate complex information clearly, and a readiness for rapid learning. The integration of artificial intelligence to enhance analytical content and engagement is crucial to this role.
Critical Skills
16. Data Literacy
17. Improvement Mindset
18. Nurture Relationships
19. Adaptability
Closing Date
November 29, 2025
If you are currently working at Baillie Gifford as an employee or contractor please apply to this job from the firm's Workday internal career site.