Quant Dev - Systematic Equities Trading (Python)

fast, reliable delivery. 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 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 prioritise 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 Why you should apply: 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 We are a small and nimble team that makes extensive use of CI/CD, AI tooling, and peer code review to ensure quality and maintainability while keeping time-to-market short. You will be able to see the impact of your work immediately and will be in a unique position to directly contribute to trading revenue.", "salary_raw": "Row(double=None, string=None)"}