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Energy Quantitative Developer - Power/Gas

HedgerWay Ltd
Posted 9 hours ago, valid for a day
Location

London, Greater London EC2V7NQ, England

Salary

£40,000 - £48,000 per annum

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Contract type

Full Time

In order to submit this application, a Reed account will be created for you. As such, in addition to applying for this job, you will be signed up to all Reed’s services as part of the process. By submitting this application, you agree to Reed’s Terms and Conditions and acknowledge that your personal data will be transferred to Reed and processed by them in accordance with their Privacy Policy.

Sonic Summary

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  • TurleyWay is seeking an Energy Quantitative Developer for a Global Utility in London, focusing on power and gas trading.
  • The position requires a strong quantitative background, with a preferred MSc or PhD in Finance, Physics, or a related STEM field, along with experience in a trading environment.
  • Candidates should have expertise in quantitative modeling, strong coding skills in Python, and familiarity with data management and analytics tools.
  • This role offers a hybrid working model with three days in the office and involves collaboration with trading teams to develop market models and analytics pipelines.
  • The salary for this position is competitive, and candidates should have at least 3-5 years of relevant experience.

Energy Quantitative Developer - Power/Gas Trading - City of London

TurleyWay are partnering with a Global Utility in London who are looking to appoint a Quantitative Developer with a strong power/gas fundamentals background. They operate a hybrid model with 3 days in the office.

You will work on-desk with Proprietary Trading Teams and Commodities Traders to help build a competitive edge in a fast-paced, commercial environment. You will report to the VP of Quantitative Analytics.

Your responsibilities will include:

• Partner with the Trading teams to translate their requirements into technology solutions, tools, models and analytical libraries to support analysis/trading decisions

• Build and develop robust market models and analytics pipelines for the Trading teams

• Own the requirements and collaborate with IT on the development of the platform for analytics, integrating both real-time and historical market data

• Migrating legacy analytical applications to containerized processes

• Optimize data workflows and assure delivery from data providers

• Provide code enhancements and refactoring to assure robust process/outcomes

• Dashboarding and data visualization of analytics

• Develop/maintain system tools - to improve analysis of vendor/analyst products

Your profile:

• MSc or PhD in the area of Finance, Physics or STEM with strong quantitative focus

• Experience working in a trading environment delivering quantitative solutions centred on quantitative modelling across asset classes. Modelling and programming experience

• Understanding of commercial processes in EU Power/Gas markets (short/long term)

• Strong coding, model development and data management capabilities

• Experience with data intensive modelling and processes

• Coding in Python and ability to distinguish between procedural, functional, development and object-oriented programming

• Git, version control and CI/CD pipelines. Familiarity with Kubernetes, helm templates, and other IAC solutions and flux

• Advantageous: Experience with Microsoft Azure, Algorithmic Trading

If you possess the relevant skills and experience please apply today to schedule a confidential discussion.

We look forward to hearing from you.

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In order to submit this application, a Reed account will be created for you. As such, in addition to applying for this job, you will be signed up to all Reed’s services as part of the process. By submitting this application, you agree to Reed’s Terms and Conditions and acknowledge that your personal data will be transferred to Reed and processed by them in accordance with their Privacy Policy.