Our client is a commodities-focused hedge fund based in Central London, managing approximately $300 million in assets. The firm operates at the intersection of markets, data, and technology, combining rigorous analysis, strong technical capabilities, and a continuous focus on improvement.

The team consists of six professionals, creating a highly collaborative environment where each individual contributes directly to the success of the business. As a small and growing organisation, the firm offers broad exposure across investment, trading, technology, and operations, with the opportunity to work closely alongside experienced industry professionals.

This is a full-time, office-based position, reflecting the firm's belief that close collaboration accelerates learning, development, and performance.

This is an excellent opportunity for a strong Python developer who wants to apply their technical skills within the asset management industry.

Previous experience in finance, hedge funds, or investment operations is not required . The firm is looking for someone with excellent Python skills, strong problem-solving ability, and a genuine interest in learning how an investment business operates.

The successful candidate will use Python to improve workflows, automate operational processes, analyse data, and build tools that support both trading and the day-to-day running of the fund. Over time, they will gain broad exposure to trading, investment analytics, and fund operations while working closely with experienced professionals.

Given the size of the team, this is a hands-on role where technology is applied across multiple areas of the business. The successful candidate will have the opportunity to make a tangible impact from day one while developing a deep understanding of how a commodities hedge fund operates.

1. Develop and maintain Python applications, scripts, and internal tools.
2. Automate manual processes across trading support and fund operations.
3. Build and improve data pipelines and reporting workflows.
4. Develop analytics to support trading, risk, and business decision-making.
5. Identify opportunities to improve efficiency through technology.

The role also includes responsibility for supporting the day-to-day operations of the fund, including:

1. Running and monitoring key operational processes.
2. Daily reconciliations and investigation of trade breaks.
3. Supporting investor reporting.
4. Liaising with brokers, counterparties, fund administrators, and other service providers.
5. Responding to operational queries and helping resolve issues efficiently.
6. Continuously identifying opportunities to automate and improve operational workflows.

1. Strong Python programming skills.
2. Good understanding of data manipulation and automation.
3. Basic SQL knowledge.
4. Strong analytical and problem-solving skills.
5. Excellent attention to detail.
6. A proactive mindset with a willingness to learn.
7. Up to two years' professional Python development experience, or equivalent technical ability demonstrated through academic or personal projects.

1. Experience building data pipelines or analytical tools.
2. Familiarity with cloud platforms such as AWS.
3. An interest in financial markets, commodities, or quantitative analysis.

No previous experience in asset management, hedge funds, or investment operations is required.

The ideal candidate will be:

1. A strong Python developer looking to build a career in a highly technical investment environment.
2. Curious, bright, and eager to learn.
3. Interested in applying technology to solve real business and operational problems.
4. Comfortable taking ownership and working in a fast-paced environment.
5. Enthusiastic about working within a small team where they can contribute across multiple areas of the business.
6. Motivated by the opportunity to learn how a hedge fund operates from the inside.

The client values technical ability and potential above previous industry experience.

This role is ideal for someone with strong Python skills who is looking to move into asset management and is excited by the opportunity to combine software development, data analysis, automation, and operational responsibility within a high-performing commodities hedge fund.

Successful candidates will receive extensive exposure to both the technical and business aspects of running an investment fund while working closely alongside experienced investment professionals.

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