At a Glance
- Tasks: Build software and platforms for quantitative researchers using large datasets.
- Company: Leading investment firm with a focus on innovative technology solutions.
- Benefits: Competitive salary, dynamic work environment, and opportunities for professional growth.
- Other info: Collaborate closely with researchers in a high-performance research environment.
- Why this job: Tackle complex engineering challenges and make a real impact on investment strategies.
- Qualifications: Strong Python skills and experience with scalable software or data platforms.
The predicted salary is between 60000 - 80000 £ per year.
A leading investment firm is seeking a Senior Research Engineer to join a front‑office technology team supporting systematic investment research.
This role focuses on building the software, platforms and data infrastructure that enable researchers to work efficiently with large and complex datasets.
You'll partner closely with quantitative research teams, helping to develop the systems and workflows that support idea generation, experimentation and research at scale.
The position sits at the intersection of software engineering, data and machine learning, offering the opportunity to work on challenging technical problems with direct impact on the investment process.
- What You'll Be Doing
- Building software, tooling and platforms used by quantitative researchers.
- Developing scalable systems for processing, managing and analysing large datasets.
- Designing and improving data pipelines that support research and analytical workflows.
- Working closely with researchers to understand technical requirements and deliver practical solutions.
- Improving the reliability, usability and accessibility of data across the research environment.
- Supporting machine learning and data‑intensive workloads across shared research infrastructure.
- Contributing to the ongoing evolution of a modern, high‑performance research platform.
- Ideal Background
We're interested in candidates who enjoy building technology that enables others to do their best work.
Strong candidates may come from backgrounds such as
- Research Engineering
- Research Platform Engineering
- Machine Learning Platform Engineering
- Quantitative Software Engineering
- Software Engineering within data‑intensive or research‑focused environments
We're particularly interested in individuals who have built platforms, tooling or infrastructure used by researchers, data scientists, machine learning engineers or quantitative investment teams.
- Key Requirements
- Strong Python software engineering skills.
- Experience designing and building scalable software or data platforms.
- Experience working with large, complex datasets.
- Strong understanding of data quality, reliability and platform usability.
- Exposure to machine learning infrastructure, distributed computing or large‑scale analytical environments.
- Ability to work closely with technical stakeholders and translate requirements into robust engineering solutions.
- Strong problem‑solving ability and attention to detail.
This is an opportunity to work on complex engineering challenges within a highly sophisticated environment.
The role offers significant ownership, direct interaction with researchers, and the chance to build systems that have a meaningful impact on the investment process.
#J-18808-Ljbffr
Senior Research Engineer | Multi-Strat Hedge Fund in London employer: Selby Jennings
Selby Jennings is an exceptional employer, offering a dynamic work culture that fosters collaboration and innovation in the heart of London. Employees benefit from extensive growth opportunities, competitive compensation, and a supportive environment that encourages professional development, making it an ideal place for those looking to make a meaningful impact in the finance technology sector.
