Attribution Search
Python Software Developer - Asset Management Firm - London
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Attribution Search is partnered with a London based Asset Management firm looking to hire a Python Software Developer into its growing technology team.
This is an exciting opportunity to support a broad range of investment and operational systems, with strong exposure across backend development, data platforms, and evolving AI-assisted engineering practices.
The team is actively embracing AI development tooling and agentic engineering workflows to improve software delivery, testing, and operational efficiency, making this an excellent opportunity for someone interested in modern software engineering practices within financial services.
Responsibilities:
As part of the team, you will contribute across a range of existing and evolving systems supporting investment and business processes, including:
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- Development and enhancement of backend and user-facing applications
- Supporting data ingestion, transformation, and validation workflows
- Working with relational databases and optimising SQL queries
- Contributing to data integration and ETL processes across multiple systems
- Supporting ongoing improvements to performance, stability, and scalability
- Working with AI-assisted development tools to improve productivity and code quality
- Collaborating with internal stakeholders and third-party vendors
- Participating in testing, deployment, and CI/CD processes.
Requirements:
- 1–5 years’ commercial software development experience
- Strong backend development experience with Python
- Interest, or experience in AI both inside and outside of work.
- Experience with modern JavaScript frameworks, ideally React
- Strong SQL skills and understanding of relational database design
- Exposure to data integration, ETL, or ingestion pipelines
- Experience within financial services or asset management environments
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This is an excellent opportunity for someone looking to join a collaborative and forward-thinking technology team with strong exposure to investment systems, modern engineering practices, and data-driven development.
Candidates with relevant experience are encouraged to apply to learn more.
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