Day-to-Day Responsibilities:

Within Societe Generale Corporate & Investment Banking (SGCIB), you will join the Information Technology Division (ITEC) and work with the Global Markets Division (MARK), which brings together the Equities, Fixed Income & Currencies and Commodities structuring capabilities with the objective of providing investors with one integrated multi-asset market solutions team.
As a member of the FO Lab team within the ITEC department, you will be leading a group of developpers and work directly with traders, and the structurers in order to develop standard high quality tools that exceed their needs and expectations.
You will sit on the trading desk, and assist traders in 5 key areas:
  • Developing high quality original tools including:
    • Pricing and decision-making tools
    • Risk Management and position follow-up instruments
    • Quantitative analytic developments
    • Trading strategies
  • Actively participates on assigned team projects fulfilling task assignments, meeting deadlines, and proactively seeking attainment of team goals.
  • Coach and mentor new hires and work with all developers in areas of needed help.
  • Be the “Go To Person” for the Traders and Structures who are using the above tools
  • Use your deep and broad expertise to improve the stability and safety of the tools


  • Strong programming skills
  • Solid knowledge Object Oriented Languages (C#, Java, C++, Python …), must have experience using those languages in a professional environment.
  • Solid knowledge of Database management tools (SQL)
  • Knowledge on Excel VBA
  • Strong quantitative background
  • Broad financial knowledge (you understand how a Trading Business operates)
  • Familiar with Agile methodologies
  • Autonomy and Rigor
  • Strong organizational and communication skills
  • Team player
  • Previous experience working in market finance.

Desired / Plus:

  • Knowledge of Mongo DB
  • Knowledge of HTML5 / Angular
  • Ability to mentor junior collegues
  • Previous experience working in an environment showing analytical skills in order to quickly implement solutions for traders.

Educational Requirements:

  • Bachelor’s degree or Master’s degree in Computer Science, Mathematics, Engineering or a related quantitative discipline

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