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Quant Dev - Systematic Equities Trading (Python)

London

Quant Dev - Systematic Equities Trading

What we do:

Maven’s Systematic Equities team deploys research-driven strategies across global equity markets, powered by some of the most advanced technology available. Our approach to trading is scientific and process-driven, with a strong emphasis on a flexible research environment, providing us with efficient means to rapidly develop, test, and deploy new ideas. We empower our team members and maximise their ability to succeed by offering an environment that is open, collaborative, and supportive. We value creativity and are aggressive to capitalise on opportunities.

The role:

We are looking for an experienced Python Engineer (Platform / ML) to join the mid-frequency-equities desk and help build, maintain, and support all aspects of the trading platform. The role is hands-on and production-facing: you will be expected to react quickly to urgent desk needs, while making pragmatic trade-offs between optimal architecture and 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. 

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