Data Scientist, Global Smaller Companies Equities

We have an outstanding benefits package which includes:

• Company-provided healthcare
• A competitive annual leave allowance
• Flexible working options, including hybrid working arrangements
• Generous pension provisions
• Income protection
• Health and wellness benefits
• Volunteering days
• Enhanced parental leave
• Life insurance

Working closely with Portfolio Managers and Analysts, the successful candidate will build tools, engineer datasets and apply scripting and machine learning techniques to embed data-driven research across the team's investment process.

We believe the best evidence of technical ability is seeing what you've created. As part of your application, please share at least one project that you have personally designed and built. This could be a machine learning model, data pipeline, research platform, analytics application, automation workflow, web application or another technical product.

• The problem or opportunity you addressed
• The technologies, frameworks and data sources used
• The specific elements you personally designed and implemented
• The outcome or impact achieved
• A Git Hub repository, live demo, portfolio, or supporting documentation where possible

• Design, build and maintain automated tools and workflows that support the team's investment research process, reducing manual effort and improving efficiency across sectors and geographies
• Work alongside the fundamental analyst team to combine data science techniques with fundamental stock research on the watchlist and existing holdings
• Engineer and manage large datasets from vendor and proprietary sources (e.g. Fact Set, Bloomberg, Morningstar, Compustat, Worldscope, Data Stream) to support screening, idea generation and portfolio construction
• Proactively seek out and apply new scripting, AI and machine learning techniques to identify patterns, surface original insights and research small companies at scale
• Support the maintenance and evolution of financial models, ensuring data feeds, calculations and outputs are robust, reproducible and scalable
• Partner with technology, data and risk teams to translate research needs into practical, well-engineered solutions, including in cloud-based environments
• Clearly communicate quantitative research, tools and methodologies to Portfolio Managers, Analysts, CPMs and other stakeholders in a way that is accessible to both technical and non-technical audiences

• Educated to degree level or equivalent in a subject such as Statistics, Financial Engineering, Mathematics or Computer/Data Science or similar. CFA or IMC would be advantageous
• Python, R, SQL or other languages used to engineer large datasets
• Experience applying scripting, automation and AI techniques to enhance research or workflows
• Fundamental understanding of core machine learning concepts
• No direct experience of equity markets is necessary, but a genuine knowledge of, and willingness to learn about investing and financial markets is valued

This job is with Invesco, an inclusive employer and a member of my Gwork - the largest global platform for the LGBTQ+ business community.

As one of the world's leading independent global investment firms, Invesco is dedicated to rethinking possibilities for our clients. By delivering the combined power of our distinctive investment management capabilities, we provide a wide range of investment strategies and vehicles to our clients around the world. If you're looking for challenging work, intelligent colleagues, and exposure across a global footprint, come explore your potential at Invesco.

Pursuant to Invesco's Workplace Policy, employees are expected to comply with the firm's most current workplace model, which as of October 1, 2025, includes spending at least four full days each week working in the role's advertised office. This reflects our belief that spending time together in the office helps us build stronger relationships, collaborate more easily, and support each other's growth and development.

We partner with charitable organisations globally to make an impact in the communities where we live and work. Our people are encouraged to support the charities they feel most passionate about. We are also committed to environmental, social and governance (ESG) investing. We serve our clients in this space as a trusted partner both on specific responsible investment product…