Job Description
The role focuses on Quant Ops and Quant IT/infrastructure to ensure stability, security, and observability from data to live trading. You will collaborate with research, risk management, and trading teams to deliver high availability results.
Key Responsibilities
- Trading Systems & Infrastructure: Maintain deployment and operation of trading/research/data systems to ensure low latency and high availability. Interface with exchange/third-party APIs, handling authentication, rate limiting, reconnection, and exception recovery. Build release and operations systems (containerization, CI/CD, configuration/secrets) and optimize capacity and performance.
- Data Engineering & Pipeline Operations: Operate data collection/cleaning/archiving/incremental pipelines to ensure completeness, timeliness, and consistency. Establish quality monitoring and alerts for point-in-time accuracy. Maintain dataset/feature library versions and interfaces, using SQL for troubleshooting and analysis.
- Strategy Deployment & Live Trading: Manage release and versioning processes (parameters, grayscale, rollback). Oversee scheduling, reconciliation, and settlement, tracking execution quality and driving improvements. Develop runbooks and on-call procedures for incident response and postmortems.
- Monitoring, Alerts & Risk Assurance: Build monitoring/alerting systems covering system/business/risk KPIs. Drive engineering and real-time validation of risk rules, documenting and reviewing trigger events. Participate in incident management and postmortems, supporting live alignment, attribution, 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 development.
- 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 integrating exchange/third-party APIs (authentication, rate limits, reconnection, idempotency).
- Understanding of: consistency/point-in-time, observability, reconciliation metrics, execution quality, risk control implementation.
- Accountable with strong communication and emergency response skills.
Preferred Qualifications
- Live trading or trading system experience in equities/futures/CTA/commodities/crypto markets.
- Engineering expertise in low-latency/high-concurrency systems, message queues, or time-series databases.
- End-to-end delivery of "data→deployment→monitoring→operations" cycles; on-call/incident management experience.
Benefits
ArkStream Capital, an 8-year-old firm, seeks entrepreneurial minds passionate about new markets and complex problem-solving. Our address-level behavioral factor strategies rebuild the full quant cycle (data→signals→portfolio→execution→risk) in on-chain trading. We want builders who’ll grow with our expert team—not just complete tasks but co-create systems and share long-term profits. Performance-based strategy revenue sharing is available. If you crave impactful work with exceptional peers, reach out with your resume and statement to [email protected].
