Quant Dev - Systematic Equities Trading (Python)

Requirements:

• Excellent Python skills, with significant experience designing, developing, testing, and deploying complex and robust production systems
• Familiarity with Linux systems; comfortable debugging distributed/production issues
• Understanding of algorithm design and complexity
• Ability to prioritize effectively in a fast-paced environment whilst keeping longer-term objectives in mind
• Strong ownership mindset: incident handling, end-to-end problem solving, and pragmatic decision making under time pressure
• An interest in trading and finance; experience with systematic trading platforms/frameworks (incl. stat-arb environments) is a strong plus

Ideal experience would include:

• Engineering systems for live trading platforms or similarly demanding real-time environments
• Airflow, Argo, Dagster or equivalent
• Observability/monitoring stacks, dashboards and alert design
• ML infra, high-performance and GPU computing, MLOps 
• Docker, Kubernetes
• CI/CD

What you'll be doing:

• Data ingestion and processing pipelines
• Orchestration of all processes involved in the trading platform
• Trading and research platform development and support
• ML model training and inference infrastructure
• Production support for live trading systems
• Monitoring and alerting improvements
• AI tooling integration

Perks and benefits:

• A flexible environment where technology is an absolute key to our success
• Opportunity to be highly involved in the decisions that shape every aspect of how we operate
• Friendly, informal and collaborative environment where you’re empowered and supported to achieve your ambitions, learn and develop
• Competitive compensation with substantial impact-based upside