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 quantitative libraries 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, Software architecture, CI/CD practices
Preferred skills
Quantitative analytics platforms, Risk management platforms, Portfolio management platforms, Event-driven architectures, Messaging platforms (Kafka, RabbitMQ), Distributed computing frameworks (Ray, Dask, Spark, Beam)
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 shared services; Partner with quantitative researchers to align capabilities with business needs; Contribute to architecture, code reviews, testing, and performance optimization; Drive continuous improvement through automation and engineering best practices
Seniority
Senior, hands-on IC