Senior Quantitative Developer- Commodities

JR United Kingdom; Slough; On-site; GBP 65,000 - 85,000; Full time

Job summary

A leading systematic investment firm is searching for a Senior Quantitative Developer to join its Commodities trading team. The role involves designing cloud systems, developing quantitative tools, and applying machine learning to enhance trading strategies. Ideal candidates will have significant experience in Python and cloud platforms, along with an understanding of financial markets.

Qualifications

• 5+ years of hands-on development experience.
• Strong proficiency in Python and data libraries.
• Experience with AWS and infrastructure tools.

Responsibilities

• Design and maintain cloud-native systems for data management.
• Develop tools in collaboration with researchers and engineers.
• Apply machine learning in Agriculture, Metals, and Power markets.

Skills

Python

Data analysis

ETL pipelines

Cloud platforms

Statistical modeling

Tools

NumPy

Pandas

Matplotlib

Airflow

Job description

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Senior Quantitative Developer- Commodities, slough

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Client:

NJF Global Holdings Ltd

Location:

slough, United Kingdom

Job Category:

Other

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EU work permit required:

Yes

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Job Views:

6

Posted:

31.05.2025

Expiry Date:

15.07.2025

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Job Description:

A leading systematic investment firm is seeking a skilled Quantitative Developer to join its Commodities trading team. The firm leverages advanced data analytics, technology, and scientific research to drive decision-making across global markets. This role offers the opportunity to work at the intersection of quantitative research, data engineering, and cloud infrastructure in a collaborative, fast-paced environment.

Key Responsibilities

• Design, build, and maintain cloud-native systems for managing alternative datasets, generating risk and PnL reports, and supporting the research and trading lifecycle.
• Develop quantitative tools in close collaboration with researchers and engineers, including data pipelines for testing and integrating new data sources.
• Apply machine learning and statistical modeling techniques to solve problems in Agriculture, Metals, and Power markets.
• Monitor and improve existing research and trading infrastructure, identifying opportunities for performance, usability, and reliability enhancements.

Ideal Candidate Profile

• 5+ years of hands-on development experience in Python or another object-oriented programming language.
• Strong proficiency in Python’s data ecosystem, including libraries such as NumPy, Pandas, and Matplotlib.
• Experience working with cloud platforms (AWS preferred) and Infrastructure-as-Code tools.
• Solid understanding of relational databases and SQL.
• Proven track record building robust ETL pipelines, ideally using Airflow or a similar tool.
• Familiarity with best practices in software engineering: version control, testing, packaging, and code reviews.
• Quantitative problem-solving skills with an interest or background in financial markets; prior experience in Commodities is highly advantageous.
• Proactive and self-directed, with a collaborative mindset; mentoring experience is a plus.