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Front Office VBA / Python Developer / Trading

Employer
RefinedSearch
Location
London, United Kingdom
Salary
Very Good + Discretionary Bonus
Closing date
May 18, 2022

View more

Job Function
Commodities
Industry Sector
Finance - General
Employment Type
Full Time
Education
Bachelors
Refined Search is working with a global merchant commodities firm specialising in energy and its associated industries, with a reach spanning over 10 offices worldwide and proprietary trading activity in most major energy markets.

The company's rigorous research, analytical approach, and entrepreneurial culture have contributed to its strong track record and growth over the past 20+ years.

While their primary business remains in proprietary trading and arbitrage, over the years the firm has expanded to offer services to third parties in price risk management, energy consulting, asset management and environmental solutions.

Backed by a significant investment firm the company continues to expand through organic growth of new initiatives and business areas along with investments and acquisitions of strategic assets which complement the existing business.

Background:

The Front Office Developer will join their gas & power development team. You will be working on a specific project which is translating price forecasting software from VBA to Python.

Profile:
  • Working within the development team with back-end developers to provide seamless support to the traders
  • Interfacing between a Senior Developer and the Power Trading desk
  • Building familiarity with internal software systems
  • Ability to work independently and show exceptional initiative
  • Building an understanding of commodity markets and how traders use internal and external software and data sources

Experience:
  • Very strong VBA skills from a commercial environment is pre-requisite
  • Commercial Python scripting experience highly desirable
  • Strong academics / degree ideally in IT or equivalent
  • The ability to work with stakeholders at all levels
  • Ability to manage and prioritise workloads

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