Data Analyst python

About the Client

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, analytics, 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.

The Opportunity

The client is seeking a highly capable and motivated individual with a genuine interest in building a career within the hedge fund industry.

This role offers a rare opportunity to work closely with experienced professionals and gain hands-on exposure to trading, analytics, and operational functions from an early stage. The successful candidate will be given meaningful responsibility, a steep learning curve, and the opportunity to develop quickly within a high-performance environment.

Given the size of the team, the individual will have the ability to make a tangible impact from day one while gaining broad insight into the day-to-day workings of a commodities-focused hedge fund.

Key Responsibilities

Trading Analytics

Maintain and enhance trading analytics, tools, and models.

1. Improve data pipelines, infrastructure, and analytics workflows.
2. Support the development and deployment of quantitative trading strategies.
3. Assist with market data analysis and reporting.

Operations

1. Run and monitor key operational processes, including:
2. Daily reconciliations and investigation of trade breaks.
3. End-of-month investor reporting.
4. Liaison with brokers, counterparties, administrators, and other service providers.
5. Respond to operational queries and resolve issues efficiently.
6. Identify opportunities for process improvement and implement automation solutions.

Skills & ExperienceCore Requirements

1. Strong Python development skills.
2. Experience building or working with data pipelines and workflows.
3. Basic SQL knowledge.
4. Strong analytical and problem-solving abilities.
5. Excellent attention to detail.
6. A proactive and hardworking approach.
7. Up to two years' professional experience using Python.

Desirable

1. Interest in, or exposure to, commodity, power, or gas markets.
2. Experience within trading, analytics, or modelling environments.
3. Familiarity with cloud-based infrastructure such as AWS.

Candidate Profile

The ideal candidate will be:

1. Bright, curious, and motivated to learn.
2. Interested in financial markets and the hedge fund industry.
3. Technically minded, with a passion for automation and efficiency.
4. Comfortable working in a fast-paced, high-responsibility environment.
5. Proactive in taking ownership and improving processes.
6. Enthusiastic about working within a small team and contributing across multiple areas of the business.

Application

The client takes a highly selective approach and values potential as much as prior experience.

Candidates who are analytical, driven, and excited by the opportunity to develop within a high-performing team, gain exposure across multiple aspects of a commodities hedge fund, and work alongside experienced professionals are encouraged to apply.

eFCSoSe