Location: Miami
Responsibilities:
• Support quantitative research and trading by designing, implementing and improving proprietary libraries and machine-learning pipelines
• Leverage modern computer architectures to improve throughput or reduce cost
• Identify compute waste and 10 bottlenecks and deliver cost-efficient solutions at scale
• Measure delivered improvements using quantitative metrics
• Customize solutions for results and adoption with partner teams
Qualifications:
• Experience working in C++ and/or Python
• Experience with identifying performance bottlenecks: at a low-level, induced by the OS,
from software architecture, or in a distributed system
• Familiarity with high-performance computer architectures
• Strong problem solving skill and quantitative orientation
• Proven track record of being a goal-oriented individual
• Ability to work independently and prioritize high-impact projects
• Strong communication and interpersonal skills applicable to a dynamic research
environment
• Minimum Master’s degree (or equivalent experience) in Computer Science or related field