Quantitative Developer (KDB+/q)

This role involves close collaboration with quantitative researchers across execution strategy, research, and trading to build scalable systems for processing both structured and unstructured data from a wide range of sources. You’ll develop automated analytics solutions that integrate advanced statistical techniques and modern technologies to support trading strategies and research workflows.

Key Responsibilities

• Manage and maintain multiple datasets, each with distinct structures and update frequencies
• Work alongside researchers to deliver both raw and enriched data sets, as well as supporting analytics
• Design, automate, and maintain robust data pipelines tailored to research and trading needs
• Set up infrastructure for data exploration, visualization, and interactive analytics
• Build and deploy large-scale applications in a cloud environment

Responsibilities

• Ownership of several datasets each with its own unique schema and delivery frequency
• Partner with researchers to produce high-value raw dataset as well as analytics
• Design, create, automate, and maintain custom data pipelines
• Setup analytical infrastructure to facilitate exploration and visualization of datasets
• Large scale cloud development of applications as a service

Skills & Qualifications

• Proven experience in data engineering with measurable business impact
• Strong skills in data manipulation, query design, and performance optimization
• Proficiency in Python, SQL, and software packaging; familiarity with KDB+/q is a plus
• Experience in areas such as distributed systems, machine learning, platform engineering, networking, systems design, or web development
• Strong quantitative and analytical thinking
• Bachelor’s or Master’s degree in Computer Science, Mathematics, Statistics, or a closely related field