Skip to content
Pricing
Fidelity InternationalVerified from Fidelity International's careers page · Workday

Technical Data Analyst

  • Dublin, Ireland
  • On-site
  • Posted Nov 10, 2026

At a glance

Technical Data Analyst at Fidelity International, an on-site role based in Dublin, Ireland. Posted on 10 November 2026, read from Fidelity International's own careers page (Workday), which RealAnalystJobs re-checks daily and removes the role when it closes.

About this role

About the Opportunity Job Type: Permanent Application Deadline: 17 November 2026 Job Description Title Technical Data Analyst Department Asset Management Platform Location Dublin, Ireland Level 6 About Fidelity International Fidelity International offers world class investment solutions and retirement expertise. As a privately owned, independent company, investment is our only business. We are driven by the needs of our clients, not by shareholders. Our vision is to deliver innovative client solutions for a better future. Our people are passionate, engaged, smart and curious, and we give them the independence and the confidence to make a difference. While we take pride in the excellence of our investment solutions and client service, we know we can always do better. We are honest, respectful and make tough calls, challenging the status quo to achieve better outcomes through innovation. Above all else, we always put our clients first. About your team Asset Management Platforms (AMP) is responsible for the design, engineering and delivery of technology solutions that support Fidelity's global Asset Management business. We partner with Investment Management, Asset Management Operations and Distribution teams across Europe and Asia to deliver modern platforms that enable investment professionals to make better investment decisions and improve client outcomes. The Portfolio Management Tooling team develops and supports the technology ecosystem used by Portfolio Managers, Investment Directors, Quantitative Researchers and Investment Specialists across multiple investment capabilities, including Multi-Asset, Systematic Investing, Fixed Income and Equities. Our platforms underpin critical investment processes including research, portfolio construction, analytics, order generation, execution management and investment risk. As Artificial Intelligence increasingly changes how portfolio management tools are developed, access to trusted, well-structured and governed enterprise data becomes critical. The Technical Data Analyst will help establish the data foundations required by the team's AI-enabled applications, working closely with Data Strategy, engineering and investment stakeholders. About your team Asset Management Platforms (AMP) is responsible for the design, engineering and delivery of technology solutions that support Fidelity's global Asset Management business. We partner with Investment Management, Asset Management Operations and Distribution teams across Europe and Asia to deliver modern platforms that enable investment professionals to make better investment decisions and improve client outcomes. The Portfolio Management Tooling team develops and supports the technology ecosystem used by Portfolio Managers, Investment Directors, Quantitative Researchers and Investment Specialists across multiple investment capabilities, including Multi-Asset, Systematic Investing, Fixed Income and Equities. Our platforms underpin critical investment processes including research, portfolio construction, analytics, order generation, execution management and investment risk. As Artificial Intelligence increasingly changes how portfolio management tools are developed, access to trusted, well-structured and governed enterprise data becomes critical. The Technical Data Analyst will help establish the data foundations required by the team's AI-enabled applications, working closely with Data Strategy, engineering and investment stakeholders. About your role The Technical Data Analyst will provide the bridge between Portfolio Management Tooling and FIL's enterprise data capabilities, working closely with the Data Strategy team to make trusted, well-structured data available to AI-developed portfolio management tools. You will combine strong data engineering and modelling knowledge with an understanding of modern AI data patterns, helping translate application and investment requirements into scalable, reusable data solutions. Key Responsibilities Data Modelling & Integration • Design and develop AI-ready data models for enterprise and investment data used by AI applications, agents and front-office portfolio management tooling. • Develop data transformations and integration patterns that connect enterprise data sources and curated datasets with the needs of AI applications. • Design for scalability and reuse , ensuring common data capabilities can support multiple portfolio management tools and AI use cases. AI & Data Enablement • Work closely with the FIL Data Strategy team and its Snowflake implementation to identify, shape and make the data required by AI-developed portfolio management tools readily available for consumption. • Support modern AI data patterns , including RAG, embeddings, vector search and the integration of structured and unstructured data. • Use AI-assisted development and rapid prototyping to accelerate delivery while ensuring successful data solutions can be productionised in a robust and maintainable way. Data Quality & Governance • Embed data quality, governance and lineage into data solutions, ensuring AI applications have access to trusted, controlled and traceable data. Collaboration • Collaborate with AI engineers, investment stakeholders, Data Strategy and architects to translate business and application needs into practical data requirements and solutions. About you You are a Technical Data Analyst with a strong background in enterprise data and a passion for making data accessible, trusted and usable by modern applications. You enjoy working across business, data and engineering teams and are interested in how Snowflake and modern AI data patterns can provide the foundations for AI-enabled portfolio management solutions. Experience Core Experience • Practical experience with Snowflake , including enterprise datasets, data modelling, transformations and curated data layers. • Experience designing and implementing ETL/ELT processes and data pipelin

Description from Fidelity International's public careers feed, reproduced so you can read the role here. Apply on the company's own site; RealAnalystJobs never submits anything for you.

Fidelity International

8 open analyst roles on RealAnalystJobs

More roles at Fidelity International
Get new analyst roles every day on Telegram. India, the US, Europe and remote, one tap to follow, no sign-up.

Hiring analysts? List your role free.