Quant Platform Engineer
Core
Build and evolve platforms, tooling, and data infrastructure supporting Quantitative Modelling and Strategies (QMS) to enable investment analytics.
Role type
Senior IC Quant Platform Engineer
Builds
Scalable platforms, services, data infrastructure, and shared services for QMS researchers and investment teams
Domain
Asset Management / Quantitative Research / Financial Technology
Deliverable
production ML models
Required skills
Python software development, data engineering, distributed computing, large-scale data processing, event-driven architectures, messaging platforms, modern software engineering practices (monorepos, CI/CD, automated testing)
Preferred skills
Quantitative analytics, risk management, portfolio management, investment research, distributed computing frameworks (Ray, Dask, Apache Spark, Apache Beam), event-driven architectures (Kafka, RabbitMQ)
Technologies
Python, Ray, Dask, Apache Spark, Apache Beam, Kafka, RabbitMQ
Responsibilities
Design and develop platform capabilities, services, and tooling; Build and support data platforms and quantitative libraries; Partner with quantitative researchers and technology teams; Contribute to architecture, code reviews, testing, and performance optimization; Drive continuous improvement through automation and engineering best practices
Seniority
Senior, hands-on IC