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Selby Jennings
London, UNITED KINGDOM
(on-site)
Posted
1 day ago
Selby Jennings
London, UNITED KINGDOM
(on-site)
Job Function
Financial Services
Commodities Risk Tech Engineer (London)
The insights provided are generated by AI and may contain inaccuracies. Please independently verify any critical information before relying on it.
Commodities Risk Tech Engineer (London)
The insights provided are generated by AI and may contain inaccuracies. Please independently verify any critical information before relying on it.
Description
Our client, a leading multi-strategy hedge fund, is seeking a talented Commodities Risk Tech Engineer to design and deliver cutting-edge technology solutions for its commodities trading and risk management platform. This is an opportunity to work at the intersection of technology and finance, building systems that power a dynamic, high-performance trading environment.The ideal candidate is a hands-on engineer with deep expertise in Python and SQL, strong experience in AWS-based architectures, and a proven track record of delivering robust, scalable solutions in fast-paced environments. Someone who thrives on solving complex problems, automating workflows, and ensuring systems are reliable and efficient.
Key Responsibilities
- Collaborate with risk management and portfolio teams to translate business requirements into innovative technology solutions.
- Design, develop, and support tools and systems for pricing, risk analytics, data flow, storage, and visualisation.
- Work closely with developers, DevOps, and technology leaders to align initiatives with business objectives.
- Build and optimise distributed systems architecture for performance and scalability.
Requirements
- 6+ years of experience in full-stack software development.
- Strong proficiency in Python and SQL, with experience in object-oriented design and distributed systems.
- Expertise in AWS architecture (S3, EKS, EC2, Batch, Airflow).
- Hands-on experience with CI/CD pipelines (Git, Jenkins) and deploying code into production environments.
- Familiarity with relational databases (MySQL, RedShift, Oracle, Postgres).
- Experience with data analysis libraries (Pandas, NumPy, SciPy).
- Exposure to caching/messaging technologies (Redis, Kafka, MQ).
Job ID: 81481470
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