Trading Support Analyst

Crypto (crypto.com) ยท London ยท First seen 2026-10-29

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Can I apply?

  • Full-time
  • Hybrid
  • Work permit not stated
From the posting
employment types
ATS employment type: full_time
workplace
ATS workplace type: hybrid
locations
ATS location: London

Job description

The Trading team develops and operates quantitative trading strategies across prediction markets, equity markets, and crypto markets.We are looking for a Trading Operations & Support Analyst to support live systematic trading, ensure smooth day-to-day operations, and help improve the reliability and efficiency of our trading systems and processes.

Responsibilities:

- Monitor live trading systems, strategies, orders, positions, P&L, and risk.

- Act as the first line of support for trading, execution, exchange connectivity, and production issues.

- Investigate and resolve order, position, P&L, reconciliation, and trading-system exceptions.

- Coordinate with traders, quantitative developers, exchanges, brokers, and other counterparties to resolve live trading issues.

- Support strategy deployments, system releases, testing, and production changes.

- Monitor exchange and market events, outages, connectivity issues, and other operational risks.

- Analyze trading and operational metrics to identify issues and improve processes.

- Develop tools and automation to improve monitoring, reconciliation, reporting, and trading operations.

- Maintain operational procedures and controls for production trading.

- Participate in local trading coverage and rotating weekend coverage.

Requirements:

- 3+ years of experience in electronic trading, trade support, trading operations, production support, or a related role.

- Strong understanding of electronic trading, order lifecycle, positions, P&L, and risk.

- Ability to troubleshoot issues calmly and effectively in a fast-moving production environment.

- Strong Python or scripting skills; SQL experience is preferred.

- Experience working with large trading or market datasets.

- Strong analytical, communication, and problem-solving skills.

- Bachelor's degree in Computer Science, Engineering, Mathematics, Finance, or another quantitative discipline, or equivalent relevant experience.

Preferred:

- Experience supporting systematic, algorithmic, or market-making trading.

- Experience with prediction markets, equities, crypto, futures, options, or other derivatives.

- Experience with exchange APIs, FIX, order-book data, or real-time trading systems.

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