Job Description
The role focuses on Quant Ops and Quant IT/infrastructure, ensuring stability, security, and observability from data to live trading. Collaborating with research, risk management, and trading teams, the candidate will be responsible for system availability.
Key Responsibilities
- Trading Systems & Infrastructure: Maintain deployment and operation of trading/research/data systems, ensuring low latency and high availability. Manage exchange/third-party API integrations, including authentication, rate limiting, reconnection, and exception recovery. Build release and operations frameworks (containerization, CI/CD, configuration/secrets) and optimize capacity/performance.
- Data Engineering & Pipeline Operations: Operate data collection/cleaning/archiving/incremental pipelines to ensure integrity, timeliness, and consistency. Establish quality monitoring and alerts for point-in-time correctness. Maintain dataset/feature library versions and interfaces, using SQL for troubleshooting and analysis.
- Strategy Deployment & Live Trading: Oversee release processes (parameters, canary, rollback). Manage scheduling, reconciliation, and settlement, tracking execution quality and driving optimizations. Develop runbooks and on-call protocols for incident response and postmortems.
- Monitoring, Alerts & Risk Assurance: Build monitoring/alerting systems covering critical system/business/risk metrics. Engineer real-time risk control validation, document triggers, and conduct reviews. Participate in incident management and postmortems, supporting live trading alignment and iteration.
Job Requirements
- Bachelor’s degree or higher.
- 3+ years in Quant Ops/Quant IT/trading systems/data engineering/SRE with leadership in system builds.
- Proficient in Python, SQL, Git; capable of independently managing CI/CD, Docker, and production deployments.
- Strong Linux skills and troubleshooting (network/process/logs) with rapid issue resolution.
- Experience with exchange/third-party API integrations (authentication, rate limits, idempotency).
- Understanding of: consistency/point-in-time, observability, reconciliation metrics, execution quality, risk control implementation.
- Accountable, with strong communication and crisis response skills.
Preferred Qualifications
- Live trading or system experience in equities/futures/CTA/crypto markets.
- Engineering expertise in low-latency/high-concurrency systems, message queues, or time-series databases.
- End-to-end ownership of "data→deployment→monitoring→operations"; on-call/incident management systems.
Benefits
ArkStream Capital, an 8-year-old firm, seeks entrepreneurial minds passionate about new markets and complex problem-solving. Our address-level behavioral alpha strategy rebuilds the quant loop—from data to execution—in on-chain trading. Join a team of sharp, driven professionals to co-create this system and share its long-term rewards through performance-based profit sharing. If you crave meaningful innovation over stability, we’d love to meet you. Send your resume and statement to [email protected].
