eFX Trader: Market-Making, Analytics & Algo Execution

Societe Generale

New York (NY)

On-site

USD 180,000 - 270,000

Full time

8 hours ago
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Job summary

Societe Generale’s Global Markets FX desk in New York seeks a quantitative trader to manage risk across FX Spot, NDFs, and derivatives. You will act as a book-runner, optimize inventories, and execute efficiently while maintaining client and liquidity partner relationships.

You will collaborate with the Quant team on models, pricing, and trading research, and develop Python tools for analytics and automation to streamline post-trade workflows.

Qualifications

  • Minimum 3 years in quantitative trading with FX across multiple products.
  • Strong data-driven approach and market understanding.
  • Ability to coordinate with global trading teams.

Responsibilities

  • Trade and manage risk across FX Spot, NDFs, Futures, Forwards, and Swaps.
  • Act as book-runner, manage inventory risk and execute across FX markets.
  • Maintain client and liquidity-provider relationships and drive engagement.
  • Provide deep analytics: PnL decomposition, volumes, market impact.
  • Collaborate with Quant team on models, pricing, and strategy research.
  • Contribute Python tools for post-trade analytics and automation.
  • Support IT and infra workflows in electronic trading environments.
  • Share findings and work with global teams to lift desk performance.

Skills

Quantitative trading
FX Spot/Fx Forwards/NDFs
Python programming
Pricing and hedging
PnL analysis
Data analysis
Cross-team collaboration

Education

Bachelor's degree in Finance/Financial Engineering/Math/CS

Tools

FX platforms
Python
SQL / Data tools
Excel

Job description

Societe Generale’s Global Markets FX desk in New York seeks a quantitative trader to manage risk across FX Spot, NDFs, and derivatives. You will act as a book-runner, optimize inventories, and execute efficiently while maintaining client and liquidity partner relationships.

You will collaborate with the Quant team on models, pricing, and trading research, and develop Python tools for analytics and automation to streamline post-trade workflows.

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