Exchange Operations Specialist
Bullish · New York, United States · 2 wk ago
Management$140k–$175k/yrFull-time
Responsibilities
- Exchange and Client Excellence: Fine-tune the platform to ensure fast and reliable trading, providing high-quality support for institutional clients.
- Trading Algorithm & Execution Support: Engineer low-latency "algorithmic trading paths," scale infrastructure, manage market spikes, and implement security measures.
- Bridge Between Trading and Tech: Collaborate with Product and Engineering to support new products and features, ensuring seamless integration into the live trading environment.
- Drive Strategic Optimization: Lead projects to enhance client workflows and operational processes, contributing to platform efficiency, risk reduction, and scalability.
- Shape Business Strategy with Data: Build and maintain powerful dashboards and reports correlating technical metrics with business KPIs, empowering strategic decision-making.
- Uphold Market Integrity: Work closely with Finance, Risk, Legal, and Compliance teams to navigate regulatory landscapes, maintaining robust governance structures.
Qualifications
- Bachelor's degree in Finance, Business, Technology, or a related field.
- 5+ years of relevant experience, including 2+ years in trading operations, trade support management, or similar roles within digital assets, FinTech, or electronic trading.
- Strong background and deep understanding of trading, market structure, and the full order lifecycle.
- Technically proficient with hands-on experience managing and troubleshooting complex electronic trading systems running in the cloud.
- Proficient in Linux/Unix command-line environments, Bash scripting, log search and analysis, and automation of operational workflows.
- Experience with FIX protocol, APIs, and market data infrastructure, with preference given to experience in FX, equities, or derivatives.
- Familiarity with risk management, digital asset custody solutions, KYC/AML, and cyber-security best practices.
- Strong critical thinking and data-driven approach, capable of thriving in a fast-paced, dynamic environment.