Trader Jobs in Web3

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Job Position Company Posted Location Salary Tags

Crypto.com

London, United Kingdom

Gsrmarkets

Remote

$86k - $100k

Gsrmarkets

Remote

$103k - $112k

Gsrmarkets

Remote

$27k - $109k

Gsrmarkets

Remote

$90k - $120k

Falconx

Remote

$145k - $175k

Dvtrading

Remote

$36k - $86k

Dvtrading

Remote

Kronosresearch

Remote

$105k - $112k

B2c2

Remote

$92k - $119k

B2c2

Remote

$92k - $120k

B2c2

Remote

$94k - $96k

Quanta Search

Chicago, IL, United States

CYBER HORNET ETFs

United States

$64k - $74k

Alexander Chapman

New York, NY, United States

$81k - $109k

Quant Trader

London, United Kingdom
Trading – Quant Front Office /
Full-time /
Hybrid

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About the role: 

You will help design the engine powering OG.com’s liquidity. You’ll build and maintain a system for continuous, two-way quotes across thousands of simultaneous markets, bridging high-level theory and production-grade automation.
 
Focus: Architecting a multi-market autonomous pricing engine.

Responsibilities:

  • Autonomous Valuation: Engineer the logic synthesizing global data into fair-value anchors and dynamic spreads.
  • Inventory Skewing: Build self-correcting models that adjust quotes based on exposure to incentivize book-balancing.
  • Defensive Design: Implement high-velocity protocols to mitigate adverse selection and information asymmetry in milliseconds.
  • Risk Automation: Define the logic for warehousing risk internally versus hedging externally.
  • Technical Translation: Convert mathematical strategies into scalable requirements for engineering teams.
  • Risk Guardrails: Partner with the desk to define the engine’s operational boundaries and automated thresholds.
  • Real-Time Leadership: Act as the technical anchor during high-leverage events, providing calibration and intervention when the system is under peak pressure.

Requirements:

  • Quantitative Fluency: Deep understanding of probability and binary contracts; treating every event as a shifting probability curve.
  • Pipeline Design: Experience building production-ready trading systems, from data ingestion to automated execution.
  • Applied Data Science: Successful track record of deploying predictive models that learn from microstructure and price velocity.
  • Systems Integrity: Expertise in building error-tolerant interfaces that remain stable under extreme throughput.

We may use artificial intelligence tools to analyze the content of your Resume/CV against the specific requirements for the position. The purpose is to support our recruitment team in reviewing applications more effectively. These tools assist our recruitment team in their evaluation of your application by providing recommendations, but they do not replace human judgment. Final hiring decisions are ultimately made by humans who consider the insights generated by the tools along with other relevant information. If you would like more details about how your personal information is processed, please contact us.
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