Invesco Ltd.
Data Scientist, Global Smaller Companies Equities
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Job Description
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
Your role:
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.
Key Responsibilities:
- 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. FactSet, Bloomberg, Morningstar, Compustat, Worldscope, DataStream) 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
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What you can bring:
- 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
Show us what you've Built:
We're keen to see examples of your work beyond a CV. As part of your application, we'd like to see an example of a project you've personally designed and built from the ground up. This could include a web application, machine learning model, data platform, analytics tool, automation solution, or another innovative product. This is an opportunity to showcase your technical expertise, creativity, and ability to turn ideas into real world solutions.
Please provide a brief overview outlining:
- The problem you set out to solve
- The technologies and tools used
- Your specific contribution to the project
- A link to a live demo, GitHub repository, or supporting documentation (where available)
Full Time / Part Time
- Full time
Worker Type
- Employee
Job Exempt (Yes / No)
- No
Workplace Model
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.
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If this sounds like you, we’d love to hear from you! We want all of our candidates to shine during the application and selection process, so if you need any adjustments to be made, please send an e-mail to emea-talentacquisition@invesco.com. Please include your name, the job you are interested in, and the type of adjustment you need (for example; breaks during your interview, remote interviews, additional time for assessments or other required adjustments)
We promote a working environment that welcomes everyone and creates inclusive teams, celebrates difference and encourages everyone to be themselves at work.
Our commitment to the community and environmental, social and governance investing: 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 strategies as well as part of our commitment to deliver a superior investment experience.
Recruitment Agencies: Invesco has an in-house recruitment team, which focuses on sourcing great candidates directly. Invesco will not accept unsolicited resumes from agency or search firm recruiters. Fees will not be paid in the event a candidate submitted by a recruiter without an agreement in place is hired. When we do use agencies, we have a PSL in place, so please do not contact hiring managers directly.
Regulatory: This position may fall in-scope of one or multiple regimes/directives.
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