Data Scientist, Global Smaller Companies Equities

Invesco; Ewelme; Hybrid; GBP 70,000 - 110,000; Full time

Benefits offered by this job

Company healthcare

Hybrid working options

Pension provisions

Income protection

Health & wellness benefits

Volunteering days

Enhanced parental leave

Life insurance

Job summary

Invesco is seeking a skilled quantitative researcher/engineer to design, build, and maintain automated data-driven tools for investment research. You will work with Portfolio Managers and Analysts to embed data science techniques across the investment process, building scalable data pipelines and models.

The role requires strong Python/R/SQL skills, experience with large datasets, and a solid foundation in machine learning concepts.

Qualifications

• 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 equity markets experience required, but a genuine knowledge of, and willingness to learn about investing and financial markets is valued

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

Skills

Python

R

SQL

Scripting & automation

AI techniques

Machine learning concepts

Education

Degree in Statistics/Financial Engineering/Mathematics/CS

CFA or IMC advantageous

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.

Show Us What You've Built – Application requirement

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 GitHub repository, live demo, portfolio, or supporting documentation where possible

Responsibilities and Duties

• 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

Qualifications

• 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 myGwork - 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.

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

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,

Regulatory

This position may fall in-scope of one or multiple regimes/directives.